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Distributed RL In the wild Based on CS 285 at UC Berkeley Sergey Kolesnikov

Advanced Topics in Reinforcement Learning
https://deeppavlov.ai/rl_course_2020

Сергей Свиридов рассказывает о современных направления в многоагентном глубоком обучении с подкреплением, в частности фокус будет направлен на обучение в POMDP средах.
Cсылки на разобранные статьи:
Stabilising Experience Replay for Deep Multi-Agent RL [https://arxiv.org/abs/1702.08887]
Counterfactual Multi-Agent Policy Gradients [https://www.cs.ox.ac.uk/people/shimon.whiteson/pubs/foersteraaai18.pdf]
Value-Decomposition Networks For Cooperative Multi-Agent Learning [https://arxiv.org/abs/1706.05296]
Monotonic Value Function Factorisation for Deep Multi-Agent RL [https://arxiv.org/abs/2003.08839v1]
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments [https://arxiv.org/abs/1706.02275]

Слайды:
https://slides.com/sergeysviridov/mdrl#/

Chat for RL papers. Complementary discussion group https://t.me/theoreticalrl