Follow
Jean Harb
Title
Cited by
Cited by
Year
Multi-agent actor-critic for mixed cooperative-competitive environments
R Lowe, YI Wu, A Tamar, J Harb, OAI Pieter Abbeel, I Mordatch
Advances in neural information processing systems 30, 2017
26782017
The option-critic architecture
PL Bacon, J Harb, D Precup
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
9032017
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), 2018
1132018
Learnings options end-to-end for continuous action tasks
M Klissarov, PL Bacon, J Harb, D Precup
arXiv preprint arXiv:1712.00004, 2017
422017
Policy evaluation networks
J Harb, T Schaul, D Precup, PL Bacon
arXiv preprint arXiv:2002.11833, 2020
192020
Investigating recurrence and eligibility traces in deep Q-networks
J Harb, D Precup
arXiv preprint arXiv:1704.05495, 2017
182017
The barbados 2018 list of open issues in continual learning
T Schaul, H van Hasselt, J Modayil, M White, A White, PL Bacon, J Harb, ...
arXiv preprint arXiv:1811.07004, 2018
82018
General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States
F Faccio, A Ramesh, V Herrmann, J Harb, J Schmidhuber
arXiv preprint arXiv:2207.01566, 2022
32022
Learning options in deep reinforcement learning
J Merheb-Harb
McGill University (Canada), 2017
12017
Asynchronous Advantage Option-Critic with Deliberation Cost
J Harb, PL Bacon, D Precup
RLDM, 2017
2017
The system can't perform the operation now. Try again later.
Articles 1–10