MPG.eBooks - Table of Contents: Reinforcement Learning for Sequential Decision and Optimal Control

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Reinforcement Learning for Sequential Decision and Optimal Control

The purpose of the book is to help researchers and practitioners take a comprehensive view of RL and understand the in-depth connection between RL and optimal control. The book includes not only systematic and thorough explanations of theoretical basics but also methodical guidance of practical algo...

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Bibliographic Details
Main Author:	Li, Shengbo Eben
Format:	eBook
Language:	English
Published:	Singapore Springer Nature Singapore 2023, 2023
Edition:	1st ed. 2023
Subjects:	Machine Learning Control, Robotics, Automation Engineering Mathematics Computational Intelligence Control Theory Systems Theory, Control System Theory Control Engineering Robotics Automation
Online Access:	https://doi.org/10.1007/978-981-19-7784-8?nosfx=y
Collection:	Springer eBooks 2005- - Collection details see MPG.ReNa

Table of Contents:

Chapter 1 Introduction of Reinforcement Learning
Chapter 2 Principles of RL Problems
Chapter 3 Model-free Indirect RL: Monte Carlo
Chapter 4 Model-Free Indirect RL: Temporal-Difference
Chapter 5 Model-based Indirect RL: Dynamic Programming
Chapter 6 Indirect RL with Function Approximation
Chapter 7 Direct RL with Policy Gradient
Chapter 8 Infinite Horizon Approximate Dynamic Programming
Chapter 9 Finite Horizon ADP and State Constraints
Chapter 10 Deep Reinforcement Learning
Chapter 11 Advanced RL Topics

Reinforcement Learning for Sequential Decision and Optimal Control

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