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Reinforcement learning and approximate dynamic programming for feedback control / / edited by Frank L. Lewis, Derong Liu



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Titolo: Reinforcement learning and approximate dynamic programming for feedback control / / edited by Frank L. Lewis, Derong Liu Visualizza cluster
Pubblicazione: Hoboken, N.J., : IEEE/John Wiley and Sons, Inc., 2013
Descrizione fisica: 1 online resource (643 p.)
Disciplina: 003/.5
Soggetto topico: Reinforcement learning
Feedback control systems
Classificazione: TEC008000
Altri autori: LewisFrank L  
LiuDerong <1963->  
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: pt. 1. Feedback control using RL and ADP -- pt. 2. Learning and control in multiagent games -- pt. 3. Foundations in MDP and RL.
Sommario/riassunto: "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"--
Titolo autorizzato: Reinforcement learning and approximate dynamic programming for feedback control  Visualizza cluster
ISBN: 1-299-18985-7
1-118-45393-X
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9911019143403321
Lo trovi qui: Univ. Federico II
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Serie: IEEE series on computational intelligence.