This repo contains implementations for standard reinforcement learning algorithms. Feel free to use the code in your projects; just provide a citation. Please let me know if there are any areas that can be improved!
I received a great deal of help from UC Berkeley's deep reinforcement learning course taught by Sergey Levine: http://rail.eecs.berkeley.edu/deeprlcourse/.