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Autore: | Lian Bosen |
Titolo: | Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games |
Pubblicazione: | Cham : , : Springer, , 2024 |
©2024 | |
Edizione: | 1st ed. |
Descrizione fisica: | 1 online resource (278 pages) |
Altri autori: | XueWenqian LewisFrank L ModaresHamidreza KiumarsiBahare |
Nota di contenuto: | Intro -- Series Editor's Foreword -- Preface -- Acknowledgements -- Contents -- Abbreviations and Notation -- Abbreviations -- Notation -- 1 Introduction -- 1.1 Motivation -- 1.2 Optimal Control -- 1.3 Integral Reinforcement Learning -- 1.4 Inverse Optimal Control -- 1.5 Inverse Reinforcement Learning -- 1.6 Outline of This Book -- References -- 2 Background on Integral and Inverse Reinforcement Learning for Feedback Control -- 2.1 Integral Reinforcement Learning for Continuous-Time Systems -- 2.1.1 Linear Quadratic Regulators -- 2.1.2 Integral Reinforcement Learning -- 2.2 Inverse Optimal Control for Continuous-Time Systems -- 2.2.1 Inverse Optimal Control for Linear Systems -- 2.2.2 Inverse Optimal Control for Nonlinear Systems -- References -- Part I Integral Reinforcement Learning for Optimal Control Systems and Games -- 3 Integral Reinforcement Learning for Optimal Regulation -- 3.1 Introduction -- 3.2 On-Policy Synchronous Integral Reinforcement Learning with Experience Replay for Nonlinear Constrained Systems -- 3.2.1 Problem Formulation -- 3.2.2 Offline Integral Reinforcement Learning Policy Iteration -- 3.2.3 Value Function Approximation -- 3.2.4 Synchronous Online Integral Reinforcement Learning for Nonlinear Constrained Systems -- 3.2.5 Simulation Examples -- 3.3 Off-Policy Integral Reinforcement Learning for Linear Quadratic Regulators with Input-Output Data -- 3.3.1 Discounted Optimal Control Problem -- 3.3.2 State-Feedback Off-Policy RL with Input-State Data -- 3.3.3 Output-Feedback Off-Policy RL with Input-Output Data -- 3.3.4 Simulation Examples -- References -- 4 Integral Reinforcement Learning for Optimal Tracking -- 4.1 Introduction -- 4.2 Integral Reinforcement Learning Policy Iteration for Linear … -- 4.2.1 Problem Formulation -- 4.2.2 Augmented Algebraic Riccati Equation for Causal Solution. |
4.2.3 Integral Reinforcement Learning for Online Linear Quadratic Tracking -- 4.2.4 Simulation Examples -- 4.3 Online Actor-Critic Integral Reinforcement Learning … -- 4.3.1 Standard Problem Formulation and Solution -- 4.3.2 New Formulation for the Optimal Tracking Control Problem of Constrained-Input Systems -- 4.3.3 Tracking Bellman and Hamilton-Jacobi-Bellman Equations -- 4.3.4 Offline Policy Iteration Algorithms -- 4.3.5 Online Actor-Critic-Based Integral Reinforcement Learning -- 4.4 Simulation Results -- References -- 5 Integral Reinforcement Learning for Zero-Sum Games -- 5.1 Introduction -- 5.2 Off-Policy Integral Reinforcement Learning for upper H Subscript normal infinityHinfty Tracking Control -- 5.2.1 Problem Formulation -- 5.2.2 Tracking Hamilton-Jacobi-Isaacs Equation and the Solution Stability -- 5.2.3 Off-Policy Integral Reinforcement Learning for Tracking Hamilton-Jacobi-Isaacs Equation -- 5.2.4 Simulation Examples -- 5.3 Off-Policy Integral Reinforcement Learning for Distributed … -- 5.3.1 Formulation of Distributed Minmax Strategy -- 5.3.2 Stability and Robustness of Distributed Minmax Strategy -- 5.3.3 Off-Policy Integral Reinforcement Learning for Distributed Minmax Strategy -- 5.3.4 Simulation Examples -- References -- Part II Inverse Reinforcement Learning for Optimal Control Systems and Games -- 6 Inverse Reinforcement Learning for Optimal Control Systems -- 6.1 Introduction -- 6.2 Off-Policy Inverse Reinforcement Learning for Linear Quadratic Regulators -- 6.2.1 Problem Formulation -- 6.2.2 Inverse Reinforcement Learning Policy Iteration -- 6.2.3 Model-Free Off-Policy Inverse Reinforcement Learning -- 6.2.4 Simulation Examples -- 6.3 Off-Policy Inverse Reinforcement Learning for Nonlinear … -- 6.3.1 Problem Formulation -- 6.3.2 Model-Based Inverse Reinforcement Learning. | |
6.3.3 Model-Free Off-Policy Integral Inverse Reinforcement Learning -- 6.3.4 Simulation Examples -- References -- 7 Inverse Reinforcement Learning for Two-Player Zero-Sum Games -- 7.1 Introduction -- 7.2 Inverse Q-Learning for Linear Two-Player Zero-Sum Games -- 7.2.1 Problem Formulation -- 7.2.2 Model-Free Inverse Q-Learning -- 7.2.3 Implementation of Inverse Q-Learning Algorithm -- 7.2.4 Simulation Examples -- 7.3 Off-Policy Inverse Reinforcement Learning for Nonlinear Two-Player Zero-Sum Games -- 7.3.1 Problem Formulation -- 7.3.2 Inverse Reinforcement Learning Policy Iteration -- 7.3.3 Model-Free Off-Policy Integral Inverse Reinforcement Learning -- 7.3.4 Simulation Examples -- 7.4 Online Adaptive Inverse Reinforcement Learning for Nonlinear Two-Player Zero-Sum Games -- 7.4.1 Integral RL-Based Off line Inverse Reinforcement Learning -- 7.4.2 Online Inverse Reinforcement Learning with Synchronous Neural Networks -- 7.4.3 Simulation Examples -- References -- 8 Inverse Reinforcement Learning for Multiplayer Non-Zero-Sum Games -- 8.1 Introduction -- 8.2 Off-Policy Inverse Reinforcement Learning for Linear Multiplayer Non-Zero-Sum Games -- 8.2.1 Problem Formulation -- 8.2.2 Inverse Reinforcement Learning Policy Iteration -- 8.2.3 Model-Free Off-Policy Integral Inverse Reinforcement Learning -- 8.2.4 Simulation Examples -- 8.3 Off-Policy Inverse Reinforcement Learning for Nonlinear Multiplayer Non-Zero-Sum Games -- 8.3.1 Problem Formulation -- 8.3.2 Inverse Reinforcement Learning Policy Iteration -- 8.3.3 Model-Free Off-Policy Integral Inverse Reinforcement Learning -- 8.3.4 Simulation Examples -- References -- Appendix A Some Useful Facts in Matrix Algebra -- Index. | |
Titolo autorizzato: | Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games |
ISBN: | 3-031-45252-6 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910842291503321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |