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Resources

Oxford Deep learning course

https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/

missing video can be found on Youtube

AI course by Berkeley (Week 7- Week 9 are about Reinforcement learning)

https://www.edx.org/course/artificial-intelligence-uc-berkeleyx-cs188-1x

Deeplearning.net

http://deeplearning.net/tutorial/contents.html

Deeplearning (With a DQN implementation) in Javascript and runs in browser

http://cs.stanford.edu/people/karpathy/convnetjs/docs.html

Deepmind DQN publication on Nature

http://www.readcube.com/articles/10.1038%2Fnature14236?shared_access_token=Lo_2hFdW4MuqEcF3CVBZm9RgN0jAjWel9jnR3ZoTv0P5kedCCNjz3FJ2FhQCgXkApOr3ZSsJAldp-tw3IWgTseRnLpAc9xQq-vTA2Z5Ji9lg16_WvCy4SaOgpK5XXA6ecqo8d8J7l4EJsdjwai53GqKt-7JuioG0r3iV67MQIro74l6IxvmcVNKBgOwiMGi8U0izJStLpmQp6Vmi_8Lw_A%3D%3D

Neural Network course by U Toronto Geoff Hinton

http://www.cs.toronto.edu/~tijmen/csc321/

Introductory book about neural network (waiting for the deep learning chapter)

http://neuralnetworksanddeeplearning.com/chap1.html

Deep Q Learning application in robotics

http://rll.berkeley.edu/deeplearningrobotics/index.html