RL WATCH & READ shortlist

Essentials:

0. RL Bible, latest edition, pdf:

Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto

1. RL Course by David Silver,

slides and videos;

2. Berkeley Deep RL course CS 294-112,

lecture slides, videos and literature links: Current Year

3. Excellent lecture by prof. Sutton on TD-learning:

TD Learning
Richard S. Sutton

4. Practical Deep RL course by YandexDataShchool:

github_repository

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#### For extensive resources lists follow these extensive collections::

https://github.com/muupan/deep-reinforcement-learning-papers

https://github.com/songrotek/Meta-Learning-Papers

https://github.com/LantaoYu/MARL-Papers

https://github.com/endymecy/awesome-deeplearning-resources

https://github.com/dbobrenko/reinforcement-learning-notes

https://github.com/camigord/DRL_papernotes

https://github.com/camigord/DRL_papernotes/tree/master/notes/hierarchical-learning

https://github.com/L706077/Deep-Reinforcement-Learning-Papers