深度強化學習 (deep reinforcement learning) 教學

考慮理論和程式間取得平衡，以下是不錯的選擇

1. Maxim Lapan, Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more, Packt Publishing, 2018. 使用 PyTorch.
2. Microsoft, Reinforcement Learning Explained, edx. 使用 Microsoft CNTK 和 Richard S. Sutton and Andrew G. Barto, Reinforcement Learning: An Introduction, A Bradford Book, 2018. 
3. Matthias Plappert, Deep Reinforcement Learning for Keras
4. Sudharsan Ravichandiran , Sean Saito , Rajalingappaa Shanmugamani, and Yang Wenzhuo, Python Reinforcement Learning, Packt, 2019.
5. Thomas Simonini, Deep reinforcement learning Course. 使用 Tensorflow