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Tutorial on Reinforcement Learning
There are several versions of my tutorial on reinforcement learning, which studies how a computer can become smarter by learning from interactions with its environment autonomously. ==ICPS'18== [{UP}adl-rl/CIPS2018-RLtutorial.pdf|Reinforcement Learning and GAN: PDF] ==CCF-ADL'16== [{UP}adl-rl/ADL-RL.pdf|Download PDF (update: May. 9, 2017)] ==Links== * ZOOpt: a python package for zeroth-order (derivative-free) optimization [^https://github.com/eyounx/ZOOpt/] * OpenAI Gym Reinforcement Learning toolkits [^https://gym.openai.com] * Awesome-RL [^https://github.com/aikorea/awesome-rl] * Resources at MST [^http://web.mst.edu/~gosavia/rl_website.html]
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