News for hackers. Stuff that matters.
Re:Generative Models by T-A on Thursday June 16, 2016 @04:55PM (#11918790)
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

Improved algorithms have been devised since it was written, see

http://karpathy.github.io/2016/05/31/rl/

and, in particular,

https://arxiv.org/abs/1502.05477

Re:Generative Models by georgehm on Thursday June 16, 2016 @06:00PM (#11919198)
I 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.
Re:Generative Models by jamessb on Friday June 17, 2016 @12:30PM (#11923612)
Also see Algorithms for Reinforcement Learning: http://www.ualberta.ca/~szepesva/RLBook.html
Re:Generative Models by deepnet on Thursday June 16, 2016 @09:11PM (#11920095)
David Silver's Reinforcement Learning Course teaches from Sutton & Barto's book.

https://www.youtube.com/watch?v=2pWv7GOvuf0