Reinforcement Learning Textbook
arXiv:2201.09746v15 citations
AI Analysis
It serves as an educational resource for students and practitioners in AI, providing a comprehensive overview of reinforcement learning methods.
This textbook explains the principles of modern deep reinforcement learning algorithms, covering theory with proofs and emphasizing differences between algorithm types.
This textbook covers principles behind main modern deep reinforcement learning algorithms that achieved breakthrough results in many domains from game AI to robotics. All required theory is explained with proofs using unified notation and emphasize on the differences between different types of algorithms and the reasons why they are constructed the way they are.