Reinforcement Learning and Approximate Dynamic Programming for Feedback Control (Hardcover)

Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single player decision and control and multi-player games. Edited by the pioneers of RL and ADP research, the book brings together ideas and methods from many fields and provides an important and timely guidance on controlling a wide variety of systems, such as robots, industrial processes, and economic decision-making.

強化學習（RL）和適應性動態規劃（ADP）一直是現代複雜系統科學和工程中最關鍵的研究領域之一。本書描述了最新的RL和ADP技術，用於人工設計系統的決策和控制，包括單人決策和控制以及多人遊戲。由RL和ADP研究的先驅者編輯，本書匯集了來自多個領域的思想和方法，並提供了對控制各種系統（如機器人、工業過程和經濟決策）的重要和及時的指導。