Google DeepMind的David Silver的强化学习课程讲义，包括Markov Decision Processes、Planning by Dynamic Programming、Model-Free Prediction、Model-Free Control、Function Approximation、Policy Gradient Methods、Integrating Learning and Planning、Exploration and Exploitation以
本课件讲解了强化学习的基本问题，经典Q学习理论，深度Q学习理论和程序讲解与训练。强化学习相关参考资料
网络资源
01
https://www.intelnervana.com/demystifying-deep-reinforcement-learning/
http://artint.info/html/artint265.html
参考文献
02
Playing Atari with Deep Reinforcement Learning 2013: arXiv: 1312.5602v1
C
