Towards Painless Policy Optimization for Constrained MDPs
A Jain, S Vaswani, R Babanezhad, C Szepesvari, D Precup
arXiv preprint arXiv:2204.05176
T Li, D Precup, G Rabusseau
Machine Learning, 1-35
J Lee, C Paduraru, DJ Mankowitz, N Heess, D Precup, KE Kim, A Guez
arXiv preprint arXiv:2204.08957
R Chunduru, D Precup
arXiv preprint arXiv:2201.02628
Understanding Decision-Time vs. Background Planning in Model-Based Reinforcement Learning
S Alver, D Precup
arXiv preprint arXiv:2206.08442
JR Falet, J Durso-Finley, B Nichyporuk, J Schroeter, F Bovis, M Sormani, D Precup, T Arbel, DL Arnold
Canadian Journal of Neurological Sciences 49 (s1), S1-S1
ABOVE PROBLEM it doesnt seem to have the pdf online you need to download it off the website
Leo Schwinn, Leon Bungert, An Nguyen, René Raab, Falk Pulsmeyer, Doina Precup, Björn Eskofier, Dario Zanca
arXiv preprint arXiv:2205.09619
Jean-Pierre René Falet, Joshua Durso-Finley, Brennan Nichyporuk, Julien Schroeter, Francesca Bovis, Maria-Pia Sormani, Doina Precup, Tal Arbel, Douglas Arnold
Neurology 98 (18 Supplement)
ABOVE IS A DUPLICATE PAPER AS WELL ANd u cant get the link to a pdf
Learning how to Interact with a Complex Interface using Hierarchical Reinforcement Learning
Gheorghe Comanici, Amelia Glaese, Anita Gergely, Daniel Toyama, Zafarali Ahmed, Tyler Jackson, Philippe Hamel, Doina Precup
arXiv preprint arXiv:2204.10374
L Schwinn, D Precup, B Eskofier, D Zanca
arXiv preprint arXiv:2204.09093
Deep learning, reinforcement learning, and world models
Yutaka Matsuo, Yann LeCun, Maneesh Sahani, Doina Precup, David Silver, Masashi Sugiyama, Eiji Uchibe, Jun Morimoto
Neural Networks
Don't Freeze Your Embedding: Lessons from Policy Finetuning in Environment Transfer
V Dean, DK Toyama, D Precup
ICLR Workshop on Agent Learning in Open-Endedness
V Chelu, D Borsa, D Precup, H van Hasselt
arXiv preprint arXiv:2202.09699
Device-free localization methods within smart indoor environments
N Ghourchian, MA MARTINEZ, D Precup
US Patent App. 17/514,343
Improving Sample Efficiency of Value Based Models Using Attention and Vision Transformers
AA Kalantari, M Amini, S Chandar, D Precup
arXiv preprint arXiv:2202.00710
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error
S Fujimoto, D Meger, D Precup, O Nachum, SS Gu
arXiv preprint arXiv:2201.12417
The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning
A Nica, K Khetarpal, D Precup
arXiv preprint arXiv:2201.09653
D Silver, S Singh, D Precup, RS Sutton
Artificial Intelligence 299, 103535
Gradient starvation: A learning proclivity in neural networks
M Pezeshki, O Kaba, Y Bengio, AC Courville, D Precup, G Lajoie
Advances in Neural Information Processing Systems 34, 1256-1272
Safe option-critic: learning safety in the option-critic architecture
A Jain, K Khetarpal, D Precup
The Knowledge Engineering Review 36
On the expressivity of markov reward
D Abel, W Dabney, A Harutyunyan, MK Ho, M Littman, D Precup, S Singh
Advances in Neural Information Processing Systems 34, 7799-7812
Flow network based generative models for non-iterative diverse candidate generation
E Bengio, M Jain, M Korablyov, D Precup, Y Bengio
Advances in Neural Information Processing Systems 34, 27381-27394
A consciousness-inspired planning agent for model-based reinforcement learning
M Zhao, Z Liu, S Luan, S Zhang, D Precup, Y Bengio
Advances in Neural Information Processing Systems 34, 1569-1581
A survey of exploration methods in reinforcement learning
S Amin, M Gomrokchi, H Satija, H van Hoof, D Precup
arXiv preprint arXiv:2109.00157
Correcting momentum in temporal difference learning
E Bengio, J Pineau, D Precup
arXiv preprint arXiv:2106.03955
Androidenv: a reinforcement learning platform for android
Daniel Toyama, Philippe Hamel, Anita Gergely, Gheorghe Comanici, Amelia Glaese, Zafarali Ahmed, Tyler Jackson, Shibl Mourad, Doina Precup
arXiv preprint arXiv:2105.13231
Self-supervised attention-aware reinforcement learning
H Wu, K Khetarpal, D Precup
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10311-10319
ABOVE PROBLEM THE website forces you to download the pdf
Constructing a good behavior basis for transfer using generalized policy updates
S Alver, D Precup
arXiv preprint arXiv:2112.15025
S Fujimoto, D Meger, D Precup
International Conference on Machine Learning, 3518-3529
Variance penalized on-policy and off-policy actor-critic
A Jain, G Patil, A Jain, K Khetarpal, D Precup
Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7899-7907
ABOVE Problem again you have to download the pdf
Training a first-order theorem prover from synthetic data
Vlad Firoiu, Eser Aygun, Ankit Anand, Zafarali Ahmed, Xavier Glorot, Laurent Orseau, Lei Zhang, Doina Precup, Shibl Mourad
arXiv preprint arXiv:2103.03798
Temporal abstraction in reinforcement learning with the successor representation
MC Machado, A Barreto, D Precup
arXiv preprint arXiv:2110.05740
Improving long-term metrics in recommendation systems using Short-Horizon Reinforcement Learning
B Mazoure, P Mineiro, P Srinath, RS Sedeh, D Precup, A Swaminathan
arXiv preprint arXiv:2106.00589
Single-shot pruning for offline reinforcement learning
SY Arnob, R Ohib, S Plis, D Precup
arXiv preprint arXiv:2112.15579
M Klissarov, D Precup
Advances in Neural Information Processing Systems 34, 4632-4646
Temporally abstract partial models
K Khetarpal, Z Ahmed, G Comanici, D Precup
Advances in Neural Information Processing Systems 34, 1979-1991
Policy gradients incorporating the future
D Venuto, E Lau, D Precup, O Nachum
arXiv preprint arXiv:2108.02096
Optimal Spectral-Norm Approximate Minimization of Weighted Finite Automata
B Balle, C Lacroce, P Panangaden, D Precup, G Rabusseau
arXiv preprint arXiv:2102.06860
M Gomrokchi, S Amin, H Aboutalebi, A Wong, D Precup
arXiv preprint arXiv:2109.03975
Preferential Temporal Difference Learning
N Anand, D Precup
arXiv preprint arXiv:2106.06508
Importance of Empirical Sample Complexity Analysis for Offline Reinforcement Learning
SY Arnob, R Islam, D Precup
arXiv preprint arXiv:2112.15578
Device-free localization methods within smart indoor environments
N Ghourchian, MA MARTINEZ, D Precup
US Patent 11,212,650
ABOVE PROBLEM this is the same as something in 2022
Proving Theorems using Incremental Learning and Hindsight Experience Replay
Eser Aygün, Laurent Orseau, Ankit Anand, Xavier Glorot, Vlad Firoiu, Lei M Zhang, Doina Precup, Shibl Mourad
arXiv preprint arXiv:2112.10664
Importance of Empirical Sample Complexity Analysis for Offline Reinforcement Learning
S Yeasar Arnob, R Islam, D Precup
arXiv e-prints, arXiv: 2112.15578
ABOVE is the same as something else in 2021
Why Should I Trust You, Bellman? Evaluating the Bellman Objective with Off-Policy Data
S Fujimoto, D Meger, D Precup, O Nachum, SS Gu
Is Heterophily A Real Nightmare For Graph Neural Networks on Performing Node Classification?
S Luan, C Hua, Q Lu, J Zhu, M Zhao, S Zhang, XW Chang, D Precup
Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Reinforcement Learning
B Mazoure, P Mineiro, P Srinath, RS Sedeh, D Precup, A Swaminathan
arXiv preprint arXiv:2106.00589
ABOVE is the same as another one but i made thme both link to the same thing (one says offline rl one says reinforcement learning)
What is Going on Inside Recurrent Meta Reinforcement Learning Agents?
S Alver, D Precup
arXiv preprint arXiv:2104.14644
Estimating treatment effect for individuals with progressive multiple sclerosis using deep learning
Jean-Pierre R Falet, Joshua Durso-Finley, Brennan Nichyporuk, Julien Schroeter, Francesca Bovis, Maria-Pia Sormani, Doina Precup, Tal Arbel, Douglas Lorne Arnold
medRxiv
T Nair, D Precup, DL Arnold, T Arbel
Medical image analysis 59, 101557
Fast reinforcement learning with generalized policy updates
A Barreto, S Hou, D Borsa, D Silver, D Precup
Proceedings of the National Academy of Sciences 117 (48), 30079-30087
Towards continual reinforcement learning: A review and perspectives
K Khetarpal, M Riemer, I Rish, D Precup
arXiv preprint arXiv:2012.13490
Invariant causal prediction for block mdps
Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup
International Conference on Machine Learning, 11214-11224
What can I do here? A Theory of Affordances in Reinforcement Learning
K Khetarpal, Z Ahmed, G Comanici, D Abel, D Precup
International Conference on Machine Learning, 5243-5253
Interference and generalization in temporal difference learning
E Bengio, J Pineau, D Precup
International Conference on Machine Learning, 767-777
Algorithmic improvements for deep reinforcement learning applied to interactive fiction
V Jain, W Fedus, H Larochelle, D Precup, MG Bellemare
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4328-4336
ABOVE PROBLEM i cant link a PDF only download it
Value preserving state-action abstractions
D Abel, N Umbanhowar, K Khetarpal, D Arumugam, D Precup, M Littman
International Conference on Artificial Intelligence and Statistics, 1639-1650
Options of interest: Temporal abstraction with interest functions
K Khetarpal, M Klissarov, M Chevalier-Boisvert, PL Bacon, D Precup
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4444-4451
ABOVE PROBLEM cant link a pdf again
Gifting in multi-agent reinforcement learning
A Lupu, D Precup
Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems
Assessment of extubation readiness using spontaneous breathing trials in extremely preterm neonates
W Shalish, L Kanbar, L Kovacs, S Chawla, M Keszler, S Rao, Samantha Latremouille, Doina Precup, Karen Brown, Robert E Kearney, Guilherme M Sant’Anna
JAMA pediatrics 174 (2), 178-185
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An equivalence between loss functions and non-uniform sampling in experience replay
S Fujimoto, D Meger, D Precup
Advances in neural information processing systems 33, 14219-14230
Learning to cooperate: Emergent communication in multi-agent navigation
I Kajić, E Aygün, D Precup
arXiv preprint arXiv:2004.01097
On efficiency in hierarchical reinforcement learning
Z Wen, D Precup, M Ibrahimi, A Barreto, B Van Roy, S Singh
Advances in Neural Information Processing Systems 33, 6708-6718
J Harb, T Schaul, D Precup, PL Bacon
arXiv preprint arXiv:2002.11833
Forethought and hindsight in credit assignment
V Chelu, D Precup, HP van Hasselt
Advances in Neural Information Processing Systems 33, 2270-2281
Learning to prove from synthetic theorems
Eser Aygün, Zafarali Ahmed, Ankit Anand, Vlad Firoiu, Xavier Glorot, Laurent Orseau, Doina Precup, Shibl Mourad
arXiv preprint arXiv:2006.11259
Navigation agents for the visually impaired: A sidewalk simulator and experiments
Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira E Kahou, Joseph P Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal
Conference on Robot Learning, 1314-1327
Value-driven hindsight modelling
Arthur Guez, Fabio Viola, Théophane Weber, Lars Buesing, Steven Kapturowski, Doina Precup, David Silver, Nicolas Heess
Advances in Neural Information Processing Systems 33, 12499-12509
Reward propagation using graph convolutional networks
M Klissarov, D Precup
Advances in Neural Information Processing Systems 33, 12895-12908
A distributional analysis of sampling-based reinforcement learning algorithms
P Amortila, D Precup, P Panangaden, MG Bellemare
International Conference on Artificial Intelligence and Statistics, 4357-4366
Locally persistent exploration in continuous control tasks with sparse rewards
S Amin, M Gomrokchi, H Aboutalebi, H Satija, D Precup
arXiv preprint arXiv:2012.13658
Diversity-Enriched Option-Critic
A Kamat, D Precup
arXiv preprint arXiv:2011.02565
S Luan, M Zhao, C Hua, XW Chang, D Precup
arXiv preprint arXiv:2008.08844
A brief look at generalization in visual meta-reinforcement learning
S Alver, D Precup
arXiv preprint arXiv:2006.07262
F Ahsan, A Drouin, F Laviolette, D Precup, M Blanchette
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
ABOVE PROBLEM CANT ACEss PDF
A fully tensorized recurrent neural network
CC Onu, JE Miller, D Precup
arXiv preprint arXiv:2010.04196
Training matters: Unlocking potentials of deeper graph convolutional neural networks
S Luan, M Zhao, XW Chang, D Precup
arXiv preprint arXiv:2008.08838
Efficient planning under partial observability with unnormalized q functions and spectral learning
T Li, B Mazoure, D Precup, G Rabusseau
International Conference on Artificial Intelligence and Statistics, 2852-2862
Reward redistribution mechanisms in multi-agent reinforcement learning
A Ibrahim, A Jitani, D Piracha, D Precup
Adaptive Learning Agents Workshop at the International Conference on Autonomous Agents and Multiagent Systems
Provably efficient reconstruction of policy networks
Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau
arXiv:2002.02863
ABOVE PROBLEM seems like you can only download pdf from the site
A Study of Policy Gradient on a Class of Exactly Solvable Models
Gavin McCracken, Colin Daniels, Rosie Zhao, Anna Brandenberger, Prakash Panangaden, Doina Precup
arXiv preprint arXiv:2011.01859
Anthony Ortiz, Kris Sankaran, Olac Fuentes, Christopher Kiekintveld, Pascal Vincent, Yoshua Bengio, Doina Precup
ICLR 2021
Offline Policy Optimization with Variance Regularization
Riashat Islam, Samarth Sinha, Homanga Bharadhwaj, Samin Yeasar Arnob, Zhuoran Yang, Zhaoran Wang, Animesh Garg, Lihong Li, Doina Precup
ICLR 2021
Practical Marginalized Importance Sampling with the Successor Representation
S Fujimoto, D Meger, D Precup
ICLR 2021
Device free localization methods within smart indoor environments
N Ghourchian, MA MARTINEZ, D Precup
US Patent 10,779,127
ABOVE PROBLEM this is the sam as a patent from 2022 and 2021?
Keynote Lecture: Building Knowledge For AI AgentsWith Reinforcement Learning
D Precup
2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP)
ABOVE PROBLEM cant get the pdf
Representation of Reinforcement Learning Policies in Reproducing Kernel Hilbert Spaces
Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau
arXiv preprint arXiv:2002.02863
NM Sepahvand, R Mehta, DL Arnold, D Precup, T Arbel
MIDL 2020
Off-policy deep reinforcement learning without exploration
S Fujimoto, D Meger, D Precup
International conference on machine learning, 2052-2062
Break the ceiling: Stronger multi-scale deep graph convolutional networks
S Luan, M Zhao, XW Chang, D Precup
Advances in neural information processing systems 32
Combined reinforcement learning via abstract representations
V François-Lavet, Y Bengio, D Precup, J Pineau
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3582-3589
ABOVE PROBLEM can only download the PDF from the site
Multiple kernel learning-based transfer regression for electric load forecasting
D Wu, B Wang, D Precup, B Boulet
IEEE Transactions on Smart Grid 11 (2), 1183-1192
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Anna Harutyunyan, Will Dabney, Thomas Mesnard, Mohammad Gheshlaghi Azar, Bilal Piot, Nicolas Heess, Hado P van Hasselt, Gregory Wayne, Satinder Singh, Doina Precup, Remi Munos
Advances in neural information processing systems 32
A Harutyunyan, W Dabney, D Borsa, N Heess, R Munos, D Precup
arXiv preprint arXiv:1902.09996
The option keyboard: Combining skills in reinforcement learning
André Barreto, Diana Borsa, Shaobo Hou, Gheorghe Comanici, Eser Aygün, Philippe Hamel, Daniel Toyama, Shibl Mourad, David Silver, Doina Precup
Advances in Neural Information Processing Systems 32
A Tousignant, P Lemaître, D Precup, DL Arnold, T Arbel
International conference on medical imaging with deep learning, 483-492
Connecting weighted automata and recurrent neural networks through spectral learning
G Rabusseau, T Li, D Precup
The 22nd International Conference on Artificial Intelligence and Statistics
Wissam Shalish, Lara Kanbar, Lajos Kovacs, Sanjay Chawla, Martin Keszler, Smita Rao, Bogdan Panaitescu, Alyse Laliberte, Doina Precup, Karen Brown, Robert E Kearney, Guilherme M Sant'Anna
The Journal of pediatrics 205, 70-76. e2
ABOVE PROBLEM cant get the pdf from the site
Neural transfer learning for cry-based diagnosis of perinatal asphyxia
CC Onu, J Lebensold, WL Hamilton, D Precup
arXiv preprint arXiv:1906.10199
Self-supervised learning of distance functions for goal-conditioned reinforcement learning
S Venkattaramanujam, E Crawford, T Doan, D Precup
arXiv preprint arXiv:1907.02998
Uncertainty aware learning from demonstrations in multiple contexts using bayesian neural networks
S Thakur, H van Hoof, JCG Higuera, D Precup, D Meger
2019 International Conference on Robotics and Automation (ICRA), 768-774
Shaping representations through communication: community size effect in artificial learning systems
O Tieleman, A Lazaridou, S Mourad, C Blundell, D Precup
arXiv preprint arXiv:1912.06208
Option-critic in cooperative multi-agent systems
Jhelum Chakravorty, Nadeem Ward, Julien Roy, Maxime Chevalier-Boisvert, Sumana Basu, Andrei Lupu, Doina Precup
arXiv preprint arXiv:1911.12825
Early prediction of alzheimer’s disease progression using variational autoencoders
S Basu, K Wagstyl, A Zandifar, L Collins, A Romero, D Precup
International Conference on Medical Image Computing and Computer-Assisted Intervention
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Improving pathological structure segmentation via transfer learning across diseases
Barleen Kaur, Paul Lemaître, Raghav Mehta, Nazanin Mohammadi Sepahvand, Doina Precup, Douglas Arnold, Tal Arbel
Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data
SVRG for policy evaluation with fewer gradient evaluations
Z Peng, A Touati, P Vincent, D Precup
arXiv preprint arXiv:1906.03704
Variational state encoding as intrinsic motivation in reinforcement learning
M Klissarov, R Islam, K Khetarpal, D Precup
Task-Agnostic Reinforcement Learning Workshop at Proceedings of the International Conference on Learning Representations
Marginalized state distribution entropy regularization in policy optimization
R Islam, Z Ahmed, D Precup
arXiv preprint arXiv:1912.05128
Singular value automata and approximate minimization
B Balle, P Panangaden, D Precup
Mathematical Structures in Computer Science 29 (9), 1444-1478
An empirical study of batch normalization and group normalization in conditional computation
V Michalski, V Voleti, SE Kahou, A Ortiz, P Vincent, C Pal, D Precup
arXiv preprint arXiv:1908.00061
Learning options with interest functions
K Khetarpal, D Precup
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9955-9956
ABOVE PROBLEM cant get the pdf only downlad it
Per-decision option discounting
A Harutyunyan, P Vrancx, P Hamel, A Nowe, D Precup
International Conference on Machine Learning, 2644-2652
Learning representations of logical formulae using graph neural networks
X Glorot, A Anand, E Aygun, S Mourad, P Kohli, D Precup
Neural Information Processing Systems, Workshop on Graph Representation Learning
Entropy regularization with discounted future state distribution in policy gradient methods
R Islam, R Seraj, PL Bacon, D Precup
arXiv preprint arXiv:1912.05104
Augmenting learning using symmetry in a biologically-inspired domain
S Mishra, A Abdolmaleki, A Guez, P Trochim, D Precup
arXiv preprint arXiv:1910.00528
Leveraging observations in bandits: Between risks and benefits
A Lupu, A Durand, D Precup
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6112-6119
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P Thodoroff, N Anand, L Caccia, D Precup, J Pineau
arXiv preprint arXiv:1905.09562
Learning modular safe policies in the bandit setting with application to adaptive clinical trials
H Aboutalebi, D Precup, T Schuster
arXiv preprint arXiv:1903.01026
Temporally extended metrics for markov decision processes
P Amortila, MG Bellemare, P Panangaden, D Precup
SafeAI@ AAAI
Avoidance Learning Using Observational Reinforcement Learning
David Venuto, Léonard Boussioux, Junhao Wang, Rola Dali, Jhelum Chakravorty, Yoshua Bengio, Doina Precup
arXiv preprint arXiv:1909.11228
Building knowledge for ai agents with reinforcement learning
D Precup
Proceedings of the 18th International Conference on Autonomous Agents and …
ABOVE PROBLEM this is the same as a paper from 2020
META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation
M Zhao, S Luan, I Porada, XW Chang, D Precup
arXiv preprint arXiv:1904.11439
Learning proposals for sequential importance samplers using reinforced variational inference
Z Ahmed, A Karuvally, D Precup, S Gravel
ICLR 2019
Automatic Curriculum Generation via Task Perturbations in Reinforcement Learning
S Venkattaramanujam, R Islam, D Precup
TARL workshop, ICLR 2019
Graph convolutional networks as reward shaping functions
M Klissarov, D Precup
ICLR Workshop on Representation Learning on Graphs and Manifolds
Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning
R Islam, R Seraj, SY Arnob, D Precup
arXiv preprint arXiv:1912.05109
Assessing Generalization in TD methods for Deep Reinforcement Learning
E Bengio, D Precup, J Pineau
ICLR 2020
Revisit Policy Optimization in Matrix Form
S Luan, XW Chang, D Precup
arXiv preprint arXiv:1909.09186
Community size effect in artificial learning systems.
O Tieleman, A Lazaridou, S Mourad, C Blundell, D Precup
ViGIL@ NeurIPS
ABOVE PROBLEM this seems very similar to a paper form the same year
Learning Reliable Policies in the Bandit Setting with Application to Adaptive Clinical Trials.
H Aboutalebi, D Precup, T Schuster
KHD@ IJCAI, 43-49
Deep reinforcement learning that matters
P Henderson, R Islam, P Bachman, J Pineau, D Precup, D Meger
Proceedings of the AAAI conference on artificial intelligence 32 (1)
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When waiting is not an option: Learning options with a deliberation cost
J Harb, PL Bacon, M Klissarov, D Precup
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1)
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P Henderson, WD Chang, PL Bacon, D Meger, J Pineau, D Precup
Proceedings of the AAAI conference on artificial intelligence 32 (1)
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Disentangling the independently controllable factors of variation by interacting with the world
Valentin Thomas, Emmanuel Bengio, William Fedus, Jules Pondard, Philippe Beaudoin, Hugo Larochelle, Joelle Pineau, Doina Precup, Yoshua Bengio
arXiv preprint arXiv:1802.09484
D Mankowitz, T Mann, PL Bacon, D Precup, S Mannor
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1)
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K Kenyon-Dean, JCK Cheung, D Precup
arXiv preprint arXiv:1805.10985
Convergent TREE BACKUP and RETRACE with function approximation
A Touati, PL Bacon, D Precup, P Vincent
International Conference on Machine Learning, 4955-4964
Patterns of reintubation in extremely preterm infants: a longitudinal cohort study
Wissam Shalish, Lara Kanbar, Martin Keszler, Sanjay Chawla, Lajos Kovacs, Smita Rao, Bogdan A Panaitescu, Alyse Laliberte, Doina Precup, Karen Brown, Robert E Kearney, Guilherme M Sant'Anna
Pediatric research 83 (5), 969-975
Learning safe policies with expert guidance
J Huang, F Wu, D Precup, Y Cai
Advances in Neural Information Processing Systems 31
Optimizing home energy management and electric vehicle charging with reinforcement learning
D Wu, G Rabusseau, V François-lavet, D Precup, B Boulet
Proceedings of the 16th Adaptive Learning Agents
Temporal regularization for markov decision process
P Thodoroff, A Durand, J Pineau, D Precup
Advances in Neural Information Processing Systems 31
Learning with options that terminate off-policy
A Harutyunyan, P Vrancx, PL Bacon, D Precup, A Nowe
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1)
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Clustering-oriented representation learning with attractive-repulsive loss
Kian Kenyon-Dean, Andre Cianflone, Lucas Page-Caccia, Guillaume Rabusseau, Jackie Chi Kit Cheung, Doina Precup
arXiv preprint arXiv:1812.07627
Eligibility traces for options
A Jain
McGill University (Canada)
ABOVE PROBLEM NOT IN AUTHORS LIST
Knowledge representation for reinforcement learning using general value functions
Gheorghe Comanici, Doina Precup, Andre Barreto, Daniel Kenji Toyama, Eser Aygün, Philippe Hamel, Sasha Vezhnevets, Shaobo Hou, Shibl Mourad
ICLR 2019
Shaping representations through communication
O Tieleman, A Lazaridou, S Mourad, C Blundell, D Precup
ICLR 2019
ABOVE PROBLEM seems similar to a 2019 paper
Lara J Kanbar, Charles C Onu, Wissam Shalish, Karen A Brown, Guilherme M Sant'Anna, Doina Precup, Robert E Kearney
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Environments for lifelong reinforcement learning
K Khetarpal, S Sodhani, S Chandar, D Precup
arXiv preprint arXiv:1811.10732
Dyna planning using a feature based generative model
R Faulkner, D Precup
arXiv preprint arXiv:1805.10129
The barbados 2018 list of open issues in continual learning
Tom Schaul, Hado van Hasselt, Joseph Modayil, Martha White, Adam White, Pierre-Luc Bacon, Jean Harb, Shibl Mourad, Marc Bellemare, Doina Precup
arXiv preprint arXiv:1811.07004
Attend before you act: Leveraging human visual attention for continual learning
K Khetarpal, D Precup
arXiv preprint arXiv:1807.09664
Nonlinear weighted finite automata
T Li, G Rabusseau, D Precup
International Conference on Artificial Intelligence and Statistics, 679-688
Constructing temporal abstractions autonomously in reinforcement learning
PL Bacon, D Precup
Ai Magazine 39 (1), 39-50
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D Precup, C Paduraru, A Koop, RS Sutton, S Singh
URL: http://videolectures. net/site/normal_dl/tag 1199094
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A neural network based nonlinear weighted finite automata
T Li
McGill University (Canada)
ABOVE PROBLEM not on authors list and this paper is similar to another 2018 one
Diffusion-Based Approximate Value Functions
M Klissarov, D Precup
ICML 2018
Learning predictive state representations from non-uniform sampling
Y Grinberg, H Aboutalebi, M Lyman-Abramovitch, B Balle, D Precup
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1)
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Prediction of Progression in Multiple Sclerosis Patients
A Tousignant, P Lemaître, D Precup, D Arnold, T Arbel
International Conference on Medical Imaging with Deep Learning--Full Paper Track
Where Off-Policy Deep Reinforcement Learning Fails
S Fujimoto, D Meger, D Precup
ICLR 2019
Leveraging Observational Learning for Exploration in Bandits
A Lupu, A Durand, D Precup
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems
Imitation upper confidence bound for bandits on a graph
A Lupu, D Precup
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1)
ABOVE PROBLEM cna only download the PDF
The option-critic architecture
PL Bacon, J Harb, D Precup
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1)
ABOVE PROBLEM cna only download the PDF
Reproducibility of benchmarked deep reinforcement learning tasks for continuous control
R Islam, P Henderson, M Gomrokchi, D Precup
arXiv preprint arXiv:1708.04133
Independently controllable features
Valentin Thomas, Jules Pondard, Emmanuel Bengio, Marc Sarfati, Philippe Beaudoin, Marie-Jean Meurs, Joelle Pineau, Doina Precup, Yoshua Bengio
arXiv preprint arXiv:1708.01289
Real-time indoor localization in smart homes using semi-supervised learning
N Ghourchian, M Allegue-Martinez, D Precup
Twenty-Ninth IAAI Conference
ABOVE PROBLEM Cant get the PDF (the website doesnt work)
Learnings options end-to-end for continuous action tasks
M Klissarov, PL Bacon, J Harb, D Precup
arXiv preprint arXiv:1712.00004
Independently controllable features
E Bengio, V Thomas, J Pineau, D Precup, Y Bengio
arXiv preprint arXiv:1703.07718
ABOVE PROBLEM this is the same as another paper but it has less authors
Independently controllable factors
V Thomas, J Pondard, E Bengio, M Sarfati, P Beaudoin, MJ Meurs, ...
arXiv preprint arXiv:1708.01289
ABOVE PROBLEM is this the smae as the other two independatly controllable factors/features?
Wissam Shalish, Lara J Kanbar, Smita Rao, Carlos A Robles-Rubio, Lajos Kovacs, Sanjay Chawla, Martin Keszler, Doina Precup, Karen Brown, Robert E Kearney, Guilherme M Sant’Anna
BMC pediatrics 17 (1), 1-15
ABOVE PROBLEM can only download the PDFalso this is v ery similar to another 2017 paper
T Long, E Bengio, R Lowe, JCK Cheung, D Precup
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
ABOVE PROBLEM can only download the PDF
Boosting based multiple kernel learning and transfer regression for electricity load forecasting
D Wu, B Wang, D Precup, B Boulet
Joint European Conference on Machine Learning and Knowledge Discovery in Databases
Variational generative stochastic networks with collaborative shaping
P Bachman, D Precup
arXiv preprint arXiv:1708.00805
Investigating recurrence and eligibility traces in deep Q-networks
J Harb, D Precup
arXiv preprint arXiv:1704.05495
Ubenwa: Cry-based diagnosis of birth asphyxia
Charles C Onu, Innocent Udeogu, Eyenimi Ndiomu, Urbain Kengni, Doina Precup, Guilherme M Sant'Anna, Edward Alikor, Peace Opara
arXiv preprint arXiv:1711.06405
A Doyle, D Precup, DL Arnold, T Arbel
nternational Conference on Medical Image Computing and Computer-Assisted Intervention
ABOVE PROBLEM can only download the PDF
Proceedings of the 34th International Conference on Machine Learning-Volume 70
D Precup, YW Teh
JMLR. org
ABOVE PROBLEM idk where to even find the pdf on the site
Predicting extubation readiness in extreme preterm infants based on patterns of breathing
Charles C Onu, Lara J Kanbar, Wissam Shalish, Karen A Brown, Guilherme M Sant'Anna, Robert E Kearney, Doina Precup
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7
ABOVE seems very similar to another 2017 paper
A semi-Markov chain approach to modeling respiratory patterns prior to extubation in preterm infants
Charles C Onu, Lara J Kanbar, Wissam Shalish, Karen A Brown, Guilherme M Sant'Anna, Robert E Kearney, Doina Precup
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
JAC Cabré, D Precup, R Sanz
2017 International Conference on Cloud and Autonomic Computing (ICCAC), 184-185
ABOVE PROBLEM can only download the PDF
Multi-Timescale, Gradient Descent, Temporal Difference Learning with Linear Options
P Kumar, D Precup
arXiv preprint arXiv:1703.06471
LJ Kanbar, W Shalish, D Precup, K Brown, GM Sant'Anna, RE Kearney
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
ABOVE PROBLEM caqnt get the PDF
Learning-based interactive segmentation using the maximum mean cycle weight formalism
Sharmin Nilufar, DS Wang, John Girgis, CG Palii, D Yang, A Blais, M Brand, Doina Precup, Theodore J Perkins
Medical Imaging 2017: Image Processing 10133, 792-811
ABOVE PROBLEM can only download the PDF
Temporal Abstraction in Reinforcement Learning
PL Bacon, D Precup
Practical kernel-based reinforcement learning
AMS Barreto, D Precup, J Pineau
The Journal of Machine Learning Research 17 (1), 2372-2441
Differentially private policy evaluation
B Balle, M Gomrokchi, D Precup
International Conference on Machine Learning, 2130-2138
Leveraging lexical resources for learning entity embeddings in multi-relational data
T Long, R Lowe, JCK Cheung, D Precup
arXiv preprint arXiv:1605.05416
Verb phrase ellipsis resolution using discriminative and margin-infused algorithms
K Kenyon-Dean, JCK Cheung, D Precup
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
Automated ongoing data validation and quality control of multi-institutional studies
LJ Kanbar, W Shalish, D Precup, K Brown, GM Sant'Anna, RE Kearney
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
ABOVE PROBLEM cant get the PDF
Incremental stochastic factorization for online reinforcement learning
A Barreto, R Beirigo, J Pineau, D Precup
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1)
ABOVE PROBLEM can only download the PDF
A matrix splitting perspective on planning with options
PL Bacon, D Precup
arXiv preprint arXiv:1612.00916
Learning Multi-Step Predictive State Representations.
L Langer, B Balle, D Precup
IJCAI, 1662-1668
Reinforcement learning of conditional computation policies for neural networks
E Bengio, PL Bacon, R Lowe, J Pineau, D Precup
ICML Workshop on Abstractions in RL
Prediction of Cell Type Specific Transcription Factor Binding Site Occupancy
F Ahsan, D Precup, M Blanchette
Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
ABOVE PROBLEM cant get the PDF
Initializing Entity Representations in Relational Models
T Long, R Lowe, J Cheung, D Precup
ICLR 2016
Special Issue on Probabilistic Models for Biomedical Image Analysis
T Arbel, MJ Cardoso, W Wells III, ACS Chung, D Precup
Computer Vision and Image Understanding 151, 1
ABOVE PROBLEM cant get the PDF
Conditional computation in neural networks for faster models
E Bengio, PL Bacon, J Pineau, D Precup
arXiv preprint arXiv:1511.06297
Data generation as sequential decision making
P Bachman, D Precup
Advances in Neural Information Processing Systems 28
Approximate value iteration with temporally extended actions
TA Mann, S Mannor, D Precup
Journal of Artificial Intelligence Research 53, 375-438
ABOVE PROBLEM can only download PDF and maybe dont have access either
Method of identification and devices thereof
D Precup, J Frank, S Mannor
US Patent 8,935,195
ABOVE PROBLEM this is a patent not a paper?
M Demirkus, D Precup, JJ Clark, T Arbel
Computer Vision and Image Understanding 136, 128-145
ABOVE PROBLEM cant get the PDF
A canonical form for weighted automata and applications to approximate minimization
B Balle, P Panangaden, D Precup
2015 30th Annual ACM/IEEE Symposium on Logic in Computer Science, 701-712
ABOVE PROBLEM cant get the PDF
N Subbanna, D Precup, D Arnold, T Arbel
International Conference on Information Processing in Medical Imaging, 514-526
ABOVE PROBLEM cant get PDF
Classification-based approximate policy iteration
A Farahmand, D Precup, AMS Barreto, M Ghavamzadeh
IEEE Transactions on Automatic Control 60 (11), 2989-2993
M Demirkus, D Precup, JJ Clark, T Arbel
IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (6), 1185-1203
ABOVE PROBLEM cant get PDF
Training deep generative models: Variations on a theme
P Bachman, D Precup
NIPS Approximate Inference Workshop
N Jafarpour, M Izadi, D Precup, DL Buckeridge
Journal of Biomedical Informatics 53, 180-187
ABOVE PROBLEM cant get the PDF
Representation discovery for mdps using bisimulation metrics
SS Ruan, G Comanici, P Panangaden, D Precup
Twenty-Ninth AAAI Conference on Artificial Intelligence
BOVE PROBLEM can only download the PDF
Learning with options: Just deliberate and relax
PL Bacon, D Precup
NIPS Bounded Optimality and Rational Metareasoning Workshop
P Gourdeau, L Kanbar, W Shalish, G Sant'Anna, R Kearney, D Precup
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Policy gradient methods for off-policy control
L Lehnert, D Precup
arXiv preprint arXiv:1512.04105
Organizational principles of cloud storage to support collaborative biomedical research
Lara J Kanbar, Wissam Shalish, Carlos A Robles-Rubio, Doina Precup, Karen Brown, Guilherme M Sant'Anna, Robert E Kearney
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Basis refinement strategies for linear value function approximation in MDPs
G Comanici, D Precup, P Panangaden
Advances in Neural Information Processing Systems 28
Conditional computation in neural networks using a decision-theoretic approach
PL Bacon, E Bengio, J Pineau, D Precup
Proceedings of the 2nd Multidisciplinary Conference on Reinforcement Learning and Decision Making
ABOVE PROBLEM this is similar to another paper from 2015
Learning and Planning with Timing Information in Markov Decision Processes.
PL Bacon, B Balle, D Precup
UAI, 111-120
Testing visual attention in dynamic environments
P Bachman, D Krueger, D Precup
arXiv preprint arXiv:1510.08949
An expectation-maximization algorithm to compute a stochastic factorization from data
AMS Barreto, RL Beirigo, J Pineau, D Precup
Twenty-Fourth International Joint Conference on Artificial Intelligence
ABOVE PROBLEM can ony download the PDF
Lara J Kanbar, Wissam Shalish, Carlos A Robles-Rubio, Doina Precup, Karen Brown, Guilherme M Sant'Anna, Robert E Kearney
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
The multimodal brain tumor image segmentation benchmark (BRATS)
Bjoern H Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth Gerstner, Marc-Andre Weber, Tal Arbel, Brian B Avants, Nicholas Ayache, Patricia Buendia, D Louis Collins, Nicolas Cordier, Jason J Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çağatay Demiralp, Christopher R Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M Iftekharuddin, Raj Jena, Nigel M John, Ender Konukoglu, Danial Lashkari, Jose Antonio Mariz, Raphael Meier, Sergio Pereira, Doina Precup, Stephen J Price, Tammy Riklin Raviv, Syed MS Reza, Michael Ryan, Duygu Sarikaya, Lawrence Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A Silva, Nuno Sousa, Nagesh K Subbanna, Gabor Szekely, Thomas J Taylor, Owen M Thomas, Nicholas J Tustison, Gozde Unal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput
IEEE transactions on medical imaging 34 (10), 1993-2024
ABOVE Problem there are so many authors is it worth to inlcude them all?
Algorithms for multi-armed bandit problems
V Kuleshov, D Precup
arXiv preprint arXiv:1402.6028
Learning with pseudo-ensembles
P Bachman, O Alsharif, D Precup
Advances in neural information processing systems 27
N Subbanna, D Precup, T Arbel
Proceedings of the IEEE conference on computer vision and pattern recognition
Probabilistic temporal head pose estimation using a hierarchical graphical model
M Demirkus, D Precup, JJ Clark, T Arbel
European conference on computer vision, 328-344
A new Q (lambda) with interim forward view and Monte Carlo equivalence
R Sutton, AR Mahmood, D Precup, H Hasselt
International Conference on Machine Learning, 568-576
Bisimulation Metrics are Optimal Value Functions.
N Ferns, D Precup
UAI, 210-219
Policy iteration based on stochastic factorization
AMS Barreto, J Pineau, D Precup
Journal of Artificial Intelligence Research 50, 763-803
ABOVE PROBLEM can only download the PDF
Multi-layer temporal graphical model for head pose estimation in real-world videos
M Demirkus, D Precup, JJ Clark, T Arbel
2014 IEEE International Conference on Image Processing (ICIP), 3392-3396
Bisimulation for Markov decision processes through families of functional expressions
N Ferns, D Precup, S Knight
Horizons of the Mind. A Tribute to Prakash Panangaden, 319-342
Pooled screening for synergistic interactions subject to blocking and noise
K Li, D Precup, TJ Perkins
Plos one 9 (1), e85864
ABOVE PROBLEM can only download a PDF
Bayesian and GrAphical Models for Biomedical Imaging
I Simpson, T Arbel, D Precup, A Ribbens, MJ Cardoso
Springer
ABOVE PROBLEM there is no PDF
Optimizing energy production using policy search and predictive state representations
Y Grinberg, D Precup, M Gendreau
Advances in Neural Information Processing Systems 27
Sample-based approximate regularization
P Bachman, A Farahmand, D Precup
International Conference on Machine Learning, 1926-1934
MJ Cardoso, I Simpson, T Arbel, D Precup, A Ribbens
Springer
ABOVE PROBLEM cant get the PDF
Analyzing User Trajectories from Mobile Device Data with Hierarchical Dirichlet Processes
N Ghourchian, D Precup
Canadian Conference on Artificial Intelligence, 107-118
ABOVE PROBLEM cent get the PDF
Theoretical results on the effect of ‘shortcut’actions in MDPs
SM McCarthy, D Precup
Connection Science 26 (2), 179-193
Learning from limited demonstrations
B Kim, A Farahmand, J Pineau, D Precup
Advances in Neural Information Processing Systems 26
Hierarchical probabilistic Gabor and MRF segmentation of brain tumours in MRI volumes
NK Subbanna, D Precup, DL Collins, T Arbel
International conference on medical image computing and computer-assisted intervention
Smart exploration in reinforcement learning using absolute temporal difference errors
C Gehring, D Precup
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Assessing the predictability of hospital readmission using machine learning
A Hosseinzadeh, M Izadi, A Verma, D Precup, D Buckeridge
Twenty-fifth IAAI conference
ABOVE PROBLEM can only download the PDF
Bellman error based feature generation using random projections on sparse spaces
M Milani Fard, Y Grinberg, A Farahmand, J Pineau, D Precup
Advances in Neural Information Processing Systems 26
Using hierarchical mixture of experts model for fusion of outbreak detection methods
N Jafarpour, D Precup, M Izadi, D Buckeridge
AMIA Annual Symposium Proceedings 2013, 663
Generating storylines from sensor data
J Frank, S Mannor, D Precup
Pervasive and Mobile Computing 9 (6), 838-847
Using label propagation for learning temporally abstract actions in reinforcement learning
PL Bacon, D Precup
Proceedings of the Workshop on Multiagent Interaction Networks, 1-7
An empirical analysis of off-policy learning in discrete mdps
C Păduraru, D Precup, J Pineau, G Comănici
European Workshop on Reinforcement Learning, 89-102
A Asbah, AMS Barreto, C Gehring, J Pineau, D Precup
Proc. Int. Conf. Mach. Learn.(ICML) Reinforcement Learn. Competition Workshop
Greedy confidence pursuit: A pragmatic approach to multi-bandit optimization
P Bachman, D Precup
Joint European Conference on Machine Learning and Knowledge Discovery in Databases
Average reward optimization objective in partially observable domains
Y Grinberg, D Precup
International Conference on Machine Learning, 320-328
Mining hospital admission-discharge data to discover the chance of readmission
A Hosseinzadeh
ABOVE PROBLEM can only download PDF and not on authors list
Approximate Policy Iteration with Demonstration Data
B Kim, A Farahmand, J Pineau, D Precup
RLDM 2013, 168
Determinants of Outbreak Detection Performance
N Jafarpour, D Precup, D Buckeridge
Online Journal of Public Health Informatics 5 (1)
ABOVE PROBLEM can only download PDF
Smart Classifier Selection for Activity Recognition on Wearable Devices.
N Ghourchian, D Precup
ICPRAM, 581-585
Predictability Analysis of Hospital Readmission Using Machine Learning Techniques
A Hosseinzadeh, M Izadi, A Verma, D Precup, D Buckeridge
School of Computer Science, McGill University
ABOVE PROBLEM this paper seems similar to two others from 2013
An information-theoretic approach to curiosity-driven reinforcement learning
S Still, D Precup
Theory in Biosciences 131 (3), 139-148
Time series analysis using geometric template matching
J Frank, S Mannor, J Pineau, D Precup
IEEE transactions on pattern analysis and machine intelligence 35 (3), 740-754
ABOVE PROBLEM cant get the PDF
Methods for computing state similarity in Markov decision processes
N Ferns, PS Castro, D Precup, P Panangaden
arXiv preprint arXiv:1206.6836
Metrics for Markov decision processes with infinite state spaces
N Ferns, P Panangaden, D Precup
arXiv preprint arXiv:1207.1386
Compressed leasÆ’t-squares regression on sparse spaces
MM Fard, Y Grinberg, J Pineau, D Precup
Twenty-Sixth AAAI Conference on Artificial Intelligence
ABOVE PROBLEM can only download the PDF
Doina Precup, Carlos A Robles-Rubio, Karen A Brown, L Kanbar, Jennifer Kaczmarek, Sanjay Chawla, Guilherme M Sant'Anna, Robert E Kearney
2012 Annual international conference of the IEEE Engineering in Medicine and Biology Society
A machine learning approach to the detection of fetal hypoxia during labor and delivery
PA Warrick, EF Hamilton, RE Kearney, D Precup
Ai Magazine 33 (2), 79-79
ABOVE PROBLEM can only download PDF
On-the-fly algorithms for bisimulation metrics
G Comanici, P Panangaden, D Precup
2012 Ninth International Conference on Quantitative Evaluation of Systems
Soft biometric trait classification from real-world face videos conditioned on head pose estimation
M Demirkus, D Precup, JJ Clark, T Arbel
2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
A Farahmand, D Precup
Advances in Neural Information Processing Systems 25
On-line reinforcement learning using incremental kernel-based stochastic factorization
A Barreto, D Precup, J Pineau
Advances in Neural Information Processing Systems 25
Generalized classification-based approximate policy iteration
A Farahmand, D Precup, M Ghavamzadeh
Tenth European Workshop on Reinforcement Learning (EWRL) 2
Improved estimation in time varying models
D Precup, P Bachman
arXiv preprint arXiv:1206.6385
A study of off-policy learning in computational sustainability
C Paduraru, D Precup, J Pineau, G Comanici
European Workshop on Reinforcement Learning (EWRL) 24, 89-102
Mining administrative data to predict falls in the elderly population
A Hosseinzadeh, M Izadi, D Precup, D Buckeridge
Canadian Conference on Artificial Intelligence, 305-311
On average reward policy evaluation in infinite-state partially observable systems
Y Grinberg, D Precup
Artificial Intelligence and Statistics, 449-457
Random projections preserve linearity in sparse spaces
MM Fard, Y Grinberg, J Pineau, D Precup
School of Computer Science, Mcgill University, Tech. Rep
Csaba Szepesvári University of Alberta
A Geramifard, A Lazaric, A Farahmand, AD Salles, AMH Barreto, ...
ABOVE PROBLEM idk what the above thing even is , doesnt seem to be a paper
Reports of the AAAI 2011 conference workshops
Noa Agmon, Vikas Agrawal, David W Aha, Yiannis Aloimonos, Donagh Buckley, Prashant Doshi, Christopher Geib, Floriana Grasso, Nancy Green, Benjamin Johnston, Burt Kaliski, Christopher Kiekintveld, Edith Law, Henry Lieberman, Ole J Mengshoel, Ted Metzler, Joseph Modayil, Douglas W Oard, Nilufer Onder, Barry O'Sullivan, Katerina Pastra, Doina Precup, Sowmya Ramachandran, Chris Reed, Sanem Sariel-Talay, Ted Selker, Lokendra Shastri, Stephen F Smith, Satinder Singh, Siddharth Srivastava, Gita Sukthankar, David C Uthus, Mary-Anne Williams
AI Magazine 33 (1), 57-70
ABOVE PROBLEM again there are a ton of authors and im also not sure this is a paper either.
RS Sutton, J Modayil, M Delp, T Degris, PM Pilarski, A White, D Precup
The 10th International Conference on Autonomous Agents and Multiagent Systems-Volume 2
Bisimulation metrics for continuous Markov decision processes
N Ferns, P Panangaden, D Precup
SIAM Journal on Computing 40 (6), 1662-1714
ABOVE PROBLEM similar to two other papers from 2011
Activity recognition with mobile phones
J Frank, S Mannor, D Precup
Joint European Conference on Machine Learning and Knowledge Discovery in Databases
ABOVE PROBLEM title seems similar to a 2013 paper but they are probably unrelateed (Activity recognition with wearable devices or sum)
Reinforcement learning using kernel-based stochastic factorization
A Barreto, D Precup, J Pineau
Advances in Neural Information Processing Systems 24
Automatic construction of temporally extended actions for mdps using bisimulation metrics
PS Castro, D Precup
European Workshop on Reinforcement Learning, 140-152
Basis function discovery using spectral clustering and bisimulation metrics
G Comanici, D Precup
International Workshop on Adaptive and Learning Agents, 85-99
ABOVE PROBLEM can only download PDF
The duality of state and observation in probabilistic transition systems
M Dinculescu, C Hundt, P Panangaden, J Pineau, D Precup
International Tbilisi Symposium on Logic, Language, and Computation, 206-230
A framework for computing bounds for the return of a policy
C Păduraru, D Precup, J Pineau
European Workshop on Reinforcement Learning, 201-212
Adapted MRF Segmentation of Multiple Sclerosis Lesions Using Local Contextual Information.
NK Subbanna, SJ Francis, D Precup, DL Collins, DL Arnold, T Arbel
MIUA, 351-356
Activity Recognition with Time-Delay Emobeddings
J Frank, S Mannor, D Precup
AAAI Spring Symposium: Computational Physiology
Learning compact representations of time-varying processes
P Bachman, D Precup
Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 1748-1749
ABOVE PROBLEM can only download PDF
Activity and gait recognition with time-delay embeddings
J Frank, S Mannor, D Precup
Twenty-Fourth AAAI Conference on Artificial Intelligence
ABOVE PROBLEM cant get the PDF
Classification of normal and hypoxic fetuses from systems modeling of intrapartum cardiotocography
PA Warrick, EF Hamilton, D Precup, RE Kearney
IEEE Transactions on Biomedical Engineering 57 (4), 771-779
ABOVE PROBLEM cant get the PDF
Using bisimulation for policy transfer in MDPs
PS Castro, D Precup
Twenty-Fourth AAAI Conference on Artificial Intelligence
ABOVE PROBLEM cant get the PDF
Optimal policy switching algorithms for reinforcement learning
G Comanici, D Precup
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1-Volume 1
Smarter sampling in model-based Bayesian reinforcement learning
PS Castro, D Precup
Joint European Conference on Machine Learning and Knowledge Discovery in Databases
Automatically suggesting topics for augmenting text documents
R West, D Precup, J Pineau
Proceedings of the 19th ACM international conference on Information and knowledge management
Approximate predictive representations of partially observable systems
M Dinculescu, D Precup
ICML
A novel similarity measure for time series data with applications to gait and activity recognition
J Frank, S Mannor, D Precup
Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing-Adjunct
An approach to inference in probabilistic relational models using block sampling
F Kaelin, D Precup
Asian Conference on Machine Learning (ACML), 325-340
A study of approximate inference in probabilistic relational models
F Kaelin, D Precup
Proceedings of 2nd Asian Conference on Machine Learning, 315-330
An algebraic approach to dynamic epistemic logic
P Panangaden, C Phillips, D Precup, M Sadrzadeh
23rd International Workshop on Description Logics DL2010, 443
Convergent Temporal-Difference Learning with Arbitrary Differentiable Function Approximator
HR Maei, C Szepesvári, S Bhathnagar, D Silver, D Precup, R Sutton
ABOVE Problem, cant seem to find how to view pdf
Fast gradient-descent methods for temporal-difference learning with linear function approximation
Richard S Sutton, Hamid Reza Maei, Doina Precup, Shalabh Bhatnagar, David Silver, Csaba Szepesvári, Eric Wiewiora
Proceedings of the 26th annual international conference on machine learning
Convergent temporal-difference learning with arbitrary smooth function approximation
H Maei, C Szepesvari, S Bhatnagar, D Precup, D Silver, RS Sutton
Advances in neural information processing systems 22
Wikispeedia: An online game for inferring semantic distances between concepts
R West, J Pineau, D Precup
Twenty-First International Joint Conference on Artificial Intelligence
ABOVE PROBLEM cant get the PDF
Completing Wikipedia's hyperlink structure through dimensionality reduction
R West, D Precup, J Pineau
Proceedings of the 18th ACM conference on Information and knowledge management
ABOVE PROBLEM cant get the PDF (page doesnt exist anymore)
PA Warrick, EF Hamilton, D Precup, RE Kearney
IEEE Transactions on Biomedical Engineering 56 (6), 1587-1597
Equivalence relations in fully and partially observable Markov decision processes
PS Castro, P Panangaden, D Precup
Twenty-First International Joint Conference on Artificial Intelligence
Notions of state equivalence under partial observability
PS Castro, P Panangaden, D Precup
Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI-09)
Learning the difference between partially observable dynamical systems
S Zhioua, D Precup, F Laviolette, J Desharnais
Joint European Conference on Machine Learning and Knowledge Discovery in Databases
Bounding performance loss in approximate MDP homomorphisms
J Taylor, D Precup, P Panagaden
Advances in Neural Information Processing Systems 21
Reinforcement learning in the presence of rare events
J Frank, S Mannor, D Precup
Proceedings of the 25th international conference on Machine learning, 336-343
ABOVE PROBLEM can only download the PDF
Point-based planning for predictive state representations
MT Izadi, D Precup
Conference of the Canadian Society for Computational Studies of Intelligence
Anytime similarity measures for faster alignment
R Brooks, T Arbel, D Precup
Computer Vision and Image Understanding 110 (3), 378-389
ABOVE PROBLEM cant get the PDF
Model-based reinforcement learning with state aggregation
C Paduraru, R Kaplow, D Precup, J Pineau
8th European Workshop on Reinforcement Learning
PA Warrick, EF Hamilton, D Precup, RE Kearney
2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
ABOVE PROBLEM cant get the PDF
PA Warrick, EF Hamilton, RE Kearney, D Precup
ICML 2008 Workshop Mach. Learning Health Care Appl. Helsinki, Finland
ABOVE PROBLEM this paper seems very similar to a 2010 one
Partial model completion in model driven engineering using constraint logic programming
S Sen, B Baudry, D Precup
17th International Conference on Applications of Declarative Programming and Knowledge Management (INAP 2007) and 21st Workshop on (Constraint)
Using Linear Programming for Bayesian Exploration in Markov Decision Processes.
PS Castro, D Precup
IJCAI 24372442
A formal framework for robot learning and control under model uncertainty
R Jaulmes, J Pineau, D Precup
Proceedings 2007 IEEE International Conference on Robotics and Automation
Fast Image Alignment Using Anytime Algorithms.
R Brooks, T Arbel, D Precup
IJCAI, 2078-2083
PA Warrick, RE Kearney, D Precup, EF Hamilton
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
ABOVE PROBLEM cant get the PDF
An adaptive approach to optimize software component quality predictive models: Case of stability
D Azar, D Precup
New Technologies, Mobility and Security, 297-310
ABOVE PROBLEM cant get the PDF
PA Warrick, RE Kearney, D Precup, EF Hamilton
2007 Computers in Cardiology, 693-696
MG Bellemare, D Precup
IJCAI, 250-255
PA Warrick, D Precup, EF Hamilton, RE Kearney
Methods of Information in Medicine 46 (02), 196-201
ABOVE PROBLEM can only download the PDF
Representing Systems with Hidden State
DK HAGHIGHI, C HUNDT, P PANANGADEN, J PINEAU, D PRECUP
AAAI Fall 2007 symposium
ABOVE PROBLEM there is no venue for it but there is a PDF, venue maybe AAAI symposium 2007?
PA Warrick, D Precup, EF Hamilton, RE Kearney
Methods of Information in Medicine 46 (2), 196
ABOVE PROBLEM this seems very similar to another 2007 paper and i can only download th PDF
R Jaulmes, J Pineau, D Precup
Revue d'intelligence artificielle 21 (1), 9-33
ABOVE PROBLEM i have no idea how to get the PDF
Automatic basis function construction for approximate dynamic programming and reinforcement learning
PW Keller, S Mannor, D Precup
Proceedings of the 23rd international conference on Machine learning, 449-456
Data mining using relational database management systems
B Zou, X Ma, B Kemme, G Newton, D Precup
Pacific-asia conference on knowledge discovery and data mining, 657-667
PAC-learning of Markov models with hidden state
R Gavaldà , PW Keller, J Pineau, D Precup
European Conference on Machine Learning, 150-161
Representing Systems with Hidden State.
C Hundt, P Panangaden, J Pineau, D Precup
AAAI, 368-374
ABOVE PROBLEM this seems similar to a paper from 2007
Belief selection in point-based planning algorithms for POMDPs
MT Izadi, D Precup, D Azar
Conference of the Canadian Society for Computational Studies of Intelligence
PA Warrick, RE Kearney, D Precup, EF Hamilton
2006 Computers in Cardiology, 937-940
Exploration in POMDP belief space and its impact on value iteration approximation
MT Izadi, D Precup
European conference on artificial intelligence (ECAI 06), workshop on planning, learning and monitoring with uncertainty and dynamic worlds (PLMUDW)
PA Warrick, RE Kearney, D Precup, EF Hamilton
2006 International Conference of the IEEE Engineering in Medicine and Biology Society
ABOVE PROBLEm this seems very similar to a 2007 paper and i cant get the PDF
Fetal Heart Rate Deceleration Detection from the Discrete Cosine Transform Spectrum
PA Warrick, D Precup, EF Hamilton, RE Kearney
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 5555-5558
ABOVE PROBLEM (this paper seems very simialr to one form 2007)
Automatic basis function construction for approximate dynamic programming and reinforcement learning
S Mannor, D Precup
In Cohen and Moore (2006
ABOVE PROBLEM i cant get the PDF (i dont know what this is) and it is similar to another 2006 paper
D Precup, PW Keller, FO Duguay
Multiagent based Supply Chain Management, 135-154
ABOVE PROBLEM cant get the PDF
Duality of State and Observations
C Hundt, P Panangaden, J Pineau, D Precup, M Dinculescu
Research supported by NSERC and CFI
Active learning in partially observable markov decision processes
R Jaulmes, J Pineau, D Precup
European Conference on Machine Learning, 601-608
Learning in non-stationary partially observable Markov decision processes
R Jaulmes, J Pineau, D Precup
ECML Workshop on Reinforcement Learning in non-stationary environments 25, 26-32
Off-policy learning with options and recognizers
D Precup, C Paduraru, A Koop, RS Sutton, S Singh
Advances in Neural Information Processing Systems 18
Using rewards for belief state updates in partially observable markov decision processes
MT Izadi, D Precup
European Conference on Machine Learning, 593-600
Risk-directed exploration in reinforcement learning
ELM Law
ABOVE PROBLEM not listed as an author of the paper
An approximation algorithm for labelled Markov processes: towards realistic approximation
A Bouchard-Côté, N Ferns, P Panangaden, D Precup
Second International Conference on the Quantitative Evaluation of Systems (QEST'05)
Using core beliefs for point-based value iteration.
MT Izadi, VR Ajit, D Precup
IJCAI, 1751-1753
Model minimization by linear PSR.
MT Izadi, D Precup
IJCAI, 1749-1750
Probabilistic robot planning under model uncertainty: an active learning approach
R Jaulmes, J Pineau, D Precup
NIPS Workshop on Machine Learning Based Robotics in Unstructured Environments
R Jaulmes, J Pineau, D Precup
Proceedings of ECML-05
ABOVE PROBLEM cant get the PDF
The workshop program at the nineteenth national conference on artificial intelligence
Ion Muslea, Virginia Dignum, Daniel Corkill, Catholijn Jonker, Frank Dignum, Silvia Coradeschi, Alessandro Saffiotti, Dan Fu, Jeff Orkin, William E Cheetham, Kai Goebel, Piero Bonissone, Leen-Kiat Soh, Randolph M Jones, Robert E Wray, Matthias Scheutz, Daniela Pucci de Farias, Shie Mannor, Georgios Theocharou, Doina Precup, Bamshad Mobasher, Sarabjot Singh Anand, Bettina Berendt, Andreas Hotho, Hans Guesgen, Michael T Rosenstein, Mohammad Ghavamzadeh
AI Magazine 26 (1), 103-103
ABOVE PROBLEM there are a ton of authors and can only download the PDF
Metrics for Finite Markov Decision Processes.
N Ferns, P Panangaden, D Precup
UAI 4, 162-169
Sparse distributed memories for on-line value-based reinforcement learning
B Ratitch, D Precup
European Conference on Machine Learning, 347-358
Redagent-2003: An autonomous market-based supply-chain management agent
PW Keller, FO Duguay, D Precup
Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems-Volume 3
Redagent: winner of TAC SCM 2003
PW Keller, FO Duguay, D Precup
ACM SIGecom Exchanges 4 (3), 1-8
ABOVE PROBLEM this paper seems similar to another 2004 one (the one right above)
Improving rule set based software quality prediction: A genetic algorithm-based approach
S Bouktif, D Azar, D Precup, H Sahraoui, B Kegl
Journal of Object Technology 3 (4), 227-241
Sparse distributed memories in reinforcement learning: Case studies
B Ratitch, S Mahadevan, D Precup
Proc. of the Workshop on Learning and Planning in Markov Processes-Advances and Challenges
ABOVE PROBLEM veyr similar to another paper the same year
Classification using Φ-machines and constructive function approximation
D Precup, PE Utgoff
Machine Learning 55 (1), 31-52
MG Bellemare, D Precup, F Rivest
Combining TD-learning with cascade-correlation networks
F Rivest, D Precup
Proceedings of the 20th International Conference on Machine Learning (ICML-03)
A planning algorithm for predictive state representations
MT Izadi, D Precup
IJCAI, 1520-1521
Using MDP characteristics to guide exploration in reinforcement learning
B Ratitch, D Precup
European Conference on Machine Learning, 313-324
ABOVE PROBLEM veyr similar to another paper in the same year
Improving Rule Set Based Software Quality Prediction
D Azar, S Bouktif, H Sahraoui, B Kegl
ABOVE PROBLEM seems similar to a 2004 paper
Exploration in RL using MDP characteristics
B RATITCH, D PRECUP
EWRL-6'2003: European workshop on reinforcement learning (Nancy, 4-5 …
ABOVE PROBLEM similar to another paper from the same year and also cant get the PDF
Learning options in reinforcement learning
M Stolle, D Precup
International Symposium on abstraction, reformulation, and approximation
ABOVE PROBLEM cant get the PDF
A convergent form of approximate policy iteration
T Perkins, D Precup
Advances in neural information processing systems 15
Using finite experiments to study asymptotic performance
C McGeoch, P Sanders, R Fleischer, PR Cohen, D Precup
Experimental algorithmics, 93-126
Combining and adapting software quality predictive models by genetic algorithms
D Azar, D Precup, S Bouktif, B Kégl, H Sahraoui
Proceedings 17th IEEE International Conference on Automated Software Engineering
ABOVE PROBLEM cant get the PDF
Characterizing Markov decision processes
B Ratitch, D Precup
European Conference on Machine Learning, 391-404
DEVELOPING COLLABORATIVE GOLOG AGENTS BY REINFORCEMENT LEARNING
IA Letia, D Precup
International Journal on Artificial Intelligence Tools 11 (3), 473
ABOVE PROBLEM this [aper is very similar to one from 2001
Off-policy temporal-difference learning with function approximation
D Precup, RS Sutton, S Dasgupta
ICML, 417-424
Developing collaborative Golog agents by reinforcement learning
LA Letia, D Precup
Proceedings 13th IEEE International Conference on Tools with Artificial Intelligence. ICTAI 2001
ABOVE PROBLEM cant get the PDF
Searching for Big-Oh in the data: Inferring asymptotic complexity from experiments
C Mc Geoch, P Sanders, R Fleischer, PR Cohen, D Precup
Lecture notes in computer science: Proceedings of the dagstuhl seminar on experimental algorithmics
Experimental Algorithmics: From Algorithm Design to Robust and Efficient Software
Catherine McGeoch, Peter Sanders, Rudolf Fleischer, Paul R Cohen, Doina Precup, Benita M Beamon, Victoria CP Chen, D Chakrabarti, C Faloutsos, Daniel Frey, Jens Nimis, Heinz Worn, Peter Lockemann, Victor Munoz, Javier Murillo, Didac Busquets, Beatriz Lopez, Rajdeep K Dash, Nicholas R Jennings, David C Parkes, SP Singh, MK Tiwara, A Larsen, O Madsen, M Solomon, Ashok U Mallya, Munindar P Singh, Birgit Heydenreich, Rudolf Muller, Marc Uetz, Yasmina Abdeddaim, Oded Maler
International Journal of Advanced Manufacturing Technology 2102, 478-492
ABOVE PROBLEM there are a ton of authors and cant get the PDF
Eligibility traces for off-policy policy evaluation
D Precup
Computer Science Department Faculty Publication Series, 80
Temporal abstraction in reinforcement learning
D Precup
University of Massachusetts Amherst
ABOVE PROBLEM cant get the PDF
Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
RS Sutton, D Precup, S Singh
Artificial intelligence 112 (1-2), 181-211
Using options for knowledge transfer in reinforcement learning
TJ Perkins, D Precup
Technical Report UM-CS-1999-034, The University of Massachusetts at Amherst
Intra-Option Learning about Temporally Abstract Actions.
RS Sutton, D Precup, S Singh
ICML 98, 556-564
Theoretical results on reinforcement learning with temporally abstract options
D Precup, RS Sutton, S Singh
European conference on machine learning, 382-393
Improved switching among temporally abstract actions
RS Sutton, S Singh, D Precup, B Ravindran
Advances in neural information processing systems 11
Constructive function approximation
PE Utgoff, D Precup
Feature Extraction, Construction and Selection, 219-235
Hierarchical optimal control of MDPs
A McGovern, D Precup, B Ravindran, S Singh, RS Sutton
Proceedings of the Tenth Yale Workshop on Adaptive and Learning Systems, 186-191
PE Utgoff, D Precup
Feature Extraction, Construction and Selection: A Data Mining Perspective
ABOVE PROBLEM cant get the PDF
Multi-time models for temporally abstract planning
D Precup, RS Sutton
Advances in neural information processing systems 10
Learning to schedule straight-line code
J Moss, Paul Utgoff, John Cavazos, Doina Precup, Darko Stefanovic, Carla Brodley, David Scheeff
Advances in Neural Information Processing Systems 10
Planning with closed-loop macro actions
D Precup, RS Sutton, SP Singh
Working notes of the 1997 AAAI Fall Symposium on Model-directed Autonomous Systems
Exponentiated gradient methods for reinforcement learning
D Precup, RS Sutton
ICML, 272-277
Multi-time models for reinforcement learning
D Precup, RS Sutton
Proceedings of the ICML’97 Workshop on Modelling in Reinforcement Learning
Classification using-machines and constructive function approximation
D Precup, PE Utgo
Proceedings of the 15th International Conference on Machine Learning, 439-444
How to find big-oh in your data set (and how not to)
CC McGeoch, PR Cohen
Sixth International Workshop on Artificial Intelligence and Statistics, 347-354
Relative value function approximation
PE Utgo, D Precup
Tech. rep., Dept of Computer Science, Univ of Mass
D Precup, R Sutton
ABOVE PROBLEM can onyl download PDF