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Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games (2024)

by Lian, Bosen

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Description

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.

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Product Details

  • Springer Brand
  • Mar 6, 2024 Pub Date:
  • 3031452518 ISBN-10:
  • 9783031452512 ISBN-13:
  • English Language
  • 9.21 in * 0.69 in * 6.14 in Dimensions:
  • 1 lb Weight: