9783031452512 - integral and inverse reinforcement learning for optimal control systems and games (advances in industrial control) de lian, bosen; lewis, frank l.; xue, wenqian (18 resultados)
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Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games (Advances in Industrial Control)
Lian, Bosen; Xue, Wenqian; Lewis, Frank L.; Modares, Hamidreza; Kiumarsi, Bahare
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Hardcover. Condición: new. Hardcover. Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games develops its specific learning techniques, motivated by application to autonomous driving and microgrid systems, with breadth and depth: integral reinforcement learning (RL) achieves model-free control without…system estimation compared with system identification methods and their inevitable estimation errors; novel inverse RL methods fill a gap that will help them to attract readers interested in finding data-driven model-free solutions for inverse optimization and optimal control, imitation learning and autonomous driving among other areas. Graduate students will find that this book offers a thorough introduction to integral and inverse RL for feedback control related to optimal regulation and tracking, disturbance rejection, and multiplayer and multiagent systems. For researchers, it provides a combination of theoretical analysis, rigorous algorithms, and a wide-ranging selection of examples. The book equips practitioners working in various domains aircraft, robotics, power systems, and communication networks among them with theoretical insights valuable in tackling the real-world challenges they face. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games (Advances in Industrial Control)
Lian, Bosen; Xue, Wenqian; Lewis, Frank L.; Modares, Hamidreza; Kiumarsi, Bahare
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Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games (Advances in Industrial Control)
Lian, Bosen; Xue, Wenqian; Lewis, Frank L.; Modares, Hamidreza; Kiumarsi, Bahare
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Integral and Inverse Reinforcement Learning for Optimal Control Systems and Gamesdevelops its specific learning techniques, motivated by application to autonomous driving and microgrid systems, with breadth and depth: integral reinforcement learning (RL)…achieves model-free control without system estimation compared with system identification methods and their inevitable estimation errors; novel inverse RL methods fill a gap that will help them to attract readers interested in finding data-driven model-free solutions for inverseoptimization and optimal control, imitation learning and autonomous driving among other areas.Graduate students will find that this book offers a thorough introduction to integral and inverse RL for feedback control related to optimal regulation and tracking, disturbance rejection, and multiplayer and multiagent systems. For researchers, it provides a combination of theoretical analysis, rigorous algorithms, and a wide-ranging selection of examples. The book equips practitioners working in various domains - aircraft, robotics, power systems, and communication networks among them - with theoretical insights valuable in tackling the real-world challenges they face.
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Hardcover. Condición: Brand New. 287 pages. 9.26x6.10x9.21 inches. In Stock.
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Hardcover. Condición: new. Hardcover. Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games develops its specific learning techniques, motivated by application to autonomous driving and microgrid systems, with breadth and depth: integral reinforcement learning (RL) achieves model-free control without…system estimation compared with system identification methods and their inevitable estimation errors; novel inverse RL methods fill a gap that will help them to attract readers interested in finding data-driven model-free solutions for inverse optimization and optimal control, imitation learning and autonomous driving among other areas. Graduate students will find that this book offers a thorough introduction to integral and inverse RL for feedback control related to optimal regulation and tracking, disturbance rejection, and multiplayer and multiagent systems. For researchers, it provides a combination of theoretical analysis, rigorous algorithms, and a wide-ranging selection of examples. The book equips practitioners working in various domains aircraft, robotics, power systems, and communication networks among them with theoretical insights valuable in tackling the real-world challenges they face. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Integral and Inverse Reinforcement Learning for Op
Lian, Bosen; Xue, Wenqian; Lewis, Frank L.; Modares, Hamidreza; Kiumarsi, Bahare
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Hardcover. Condición: Brand New. 287 pages. 9.26x6.10x9.21 inches. In Stock. This item is printed on demand.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Integral and Inverse Reinforcement Learning for Optimal Control Systems and Gamesdevelops its specific learning techniques, motivated by application to autonomous driving and microgrid systems, with breadth and depth: integral reinforcemen…t learning (RL) achieves model-free control without system estimation compared with system identification methods and their inevitable estimation errors; novel inverse RL methods fill a gap that will help them to attract readers interested in finding data-driven model-free solutions for inverseoptimization and optimal control, imitation learning and autonomous driving among other areas.Graduate students will find that this book offers a thorough introduction to integral and inverse RL for feedback control related to optimal regulation and tracking, disturbance rejection, and multiplayer and multiagent systems. For researchers, it provides a combination of theoretical analysis, rigorous algorithms, and a wide-ranging selection of examples. The book equips practitioners working in various domains - aircraft, robotics, power systems, and communication networks among them - with theoretical insights valuable in tackling the real-world challenges they face. 288 pp. Englisch.
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Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games
Bosen Lian|Wenqian Xue|Frank L. Lewis|Hamidreza Modares|Bahare Kiumarsi
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides control engineers with a first look at state-of-the art inverse reinforcement learning methodsComprehensive introduction combines with illustrative examples to bring readers up to speedAlgorithms an…d theoretical analysis assure rig.
Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games (Advances in Industrial Control)
Lian, Bosen; Xue, Wenqian; Lewis, Frank L.; Modares, Hamidreza; Kiumarsi, Bahare
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Idioma: Inglés
Editorial: Springer Nature Switzerland, Springer International Publishing Mär 2024, 2024
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games develops its specific learning techniques, motivated by application to autonomous driving and microgrid systems, with breadth and depth: integral reinforcement l…earning (RL) achieves model-free control without system estimation compared with system identification methods and their inevitable estimation errors; novel inverse RL methods fill a gap that will help them to attract readers interested in finding data-driven model-free solutions for inverse optimization and optimal control, imitation learning and autonomous driving among other areas.Graduate students will find that this book offers a thorough introduction to integral and inverse RL for feedback control related to optimal regulation and tracking, disturbance rejection, and multiplayer and multiagent systems. For researchers, it provides a combination of theoretical analysis, rigorous algorithms, and a wide-ranging selection of examples. The book equips practitioners working in various domains ¿ aircraft, robotics, power systems, and communication networks among them ¿ with theoretical insights valuable in tackling the real-world challenges they face.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 288 pp. Englisch.
Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games (Advances in Industrial Control)
Lian, Bosen; Xue, Wenqian; Lewis, Frank L.; Modares, Hamidreza; Kiumarsi, Bahare
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