论文标题
强化学习教科书
Reinforcement Learning Textbook
论文作者
论文摘要
本教科书涵盖了主要现代深层强化学习算法背后的原则，这些算法取得了突破，从而导致了从游戏AI到机器人技术的许多领域。所有必需的理论都用统一的符号来解释，并强调不同类型的算法之间的差异以及它们以其方式构造的原因。
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.
