Reinforcement Learning Optimal Feedback Control with Industrial Applications
This book offers a thorough introduction to the basics and scientific and technological innovations involved in the modern study of reinforcement-learning-based feedback control. The authors address a wide variety of systems including work on nonlinear, networked, multi-agent and multi-player system...
Main Authors: | , , |
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Format: | eBook |
Language: | English |
Published: |
Cham
Springer International Publishing
2023, 2023
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Edition: | 1st ed. 2023 |
Series: | Advances in Industrial Control
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 1. Background on Reinforcement Learning and Optimal Control
- 2. H-infinity Control Using Reinforcement Learning
- 3. Robust Tracking Control and Output Regulation
- 4. Interleaved Robust Reinforcement Learning
- 5. Optimal Networked Controller and Observer Design
- 6. Interleaved Q-Learning
- 7. Off-Policy Game Reinforcement Learning
- 8. Game Reinforcement Learning for Process Industries