3 ms·
For reinforcement learning, one of OpenAI's focus areas, the book by Sutton & Barto is still the standard reference: https://webdocs.cs.ualberta.ca/~sutton/book
by T-A 10y ago
For reinforcement learning, one of OpenAI's focus areas, the book by Sutton & Barto is still the standard reference:
https://webdocs.cs.ualberta.ca/~sutton/book/the-book.html https://webdocs.cs.ualberta.ca/~sutton/book/the-book.html
Improved algorithms have been devised since it was written, see
http://karpathy.github.io/2016/05/31/rl/ http://karpathy.github.io/2016/05/31/rl/
and, in particular,
https://arxiv.org/abs/1502.05477 https://arxiv.org/abs/1502.05477
- georgehm 10y agoI personally found Andrew Ng's videos on Reinforcement Learning from cs229@stanford + inverted pole balancing programming assignment to be great intro's on the topic.
- deepnet 10y agoDavid Silver's Reinforcement Learning Course teaches from Sutton & Barto's book. https://www.youtube.com/watch?v=2pWv7GOvuf0 https://www.youtube.com/watch?v=2pWv7GOvuf0
- jamessb 10y agoAlso see Algorithms for Reinforcement Learning: http://www.ualberta.ca/~szepesva/RLBook.html http://www.ualberta.ca/~szepesva/RLBook.html