Jean Harb
I'm a second year Ph.D. student in Computer Science at McGill University, supervised by Doina Precup. I am a member of the Reasoning and Learning Lab.

My interests are in reinforcement learning and deep learning. I'm currently focussing on exploration and temporal abstraction within the deep RL setting.

During the summer of 2015, I interned at Maluuba as a research scientist. I worked on natural language processing using deep learning.

In the Spring of 2017, I interned at OpenAI, where I worked on multi-agent communication using Deep Reinforcement Learning.

Here is my CV. I can be reached at jean.merheb-harb[at]


Jean Harb*, Pierre-Luc Bacon*, Martin Klissarov, Doina Precup
When Waiting is not an Option: Learning Options with a Deliberation Cost
Arxiv preprint, 2017

Ryan Lowe*, Yi Wu*, Aviv Tamar, Jean Harb, Pieter Abbeel, Igor Mordatch
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Neural Information Processing Systems (NIPS), 2017

Jean Harb, Pierre-Luc Bacon, Doina Precup
Asynchronous Advantage Option-Critic with Deliberation Cost
Conference on Reinforcement Learning and Decision Making (RLDM), 2017

Pierre-Luc Bacon, Jean Harb, Doina Precup
The Option-Critic Architecture
Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 2017
Outstanding Student Paper Award

Jean Harb, Doina Precup
Investigating Recurrence and Eligibility Traces in Deep Q-Networks
NIPS 2016 Deep Reinforcement Learning Workshop