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Jean Harb
Jean Harb
OpenAI
Email verificata su openai.com
Titolo
Citata da
Citata da
Anno
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
44662017
The option-critic architecture
PL Bacon, J Harb, D Precup
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017
11672017
Investigating recurrence and eligibility traces in deep Q-networks
J Harb, D Precup
arXiv preprint arXiv:1704.05495, 2017
2292017
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
1502018
Learnings options end-to-end for continuous action tasks
M Klissarov, PL Bacon, J Harb, D Precup
arXiv preprint arXiv:1712.00004, 2017
552017
Policy evaluation networks
J Harb, T Schaul, D Precup, PL Bacon
arXiv preprint arXiv:2002.11833, 2020
382020
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
132018
Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research
C Gulino, J Fu, W Luo, G Tucker, E Bronstein, Y Lu, J Harb, X Pan, ...
Advances in Neural Information Processing Systems 36, 2024
112024
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
92022
Learning options in deep reinforcement learning
J Merheb-Harb
McGill University (Canada), 2016
12016
Asynchronous Advantage Option-Critic with Deliberation Cost
J Harb, PL Bacon, D Precup
RLDM, 2017
2017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–11