Model-based Reinforcement Learning: A Survey (Foundations and Trends® in Machine Learning)

Reinforcement Learning for Decision & Optimal Control - Springer

Reinforcement Learning for Sequential Decision and Optimal Control

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

MIT Press

Mathematical Foundations of Reinforcement Learning

Control Systems and Reinforcement Learning

Deep Reinforcement Learning Hands-On: A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF

Packt Publishing

Algorithms for Decision Making

Deep Reinforcement Learning and Its Industrial Use Cases: AI for Real-World Applications

Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning: 55 (Operations Research/Computer Science Interfaces Series, 55)

Springer

Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning: 55 (Operations Research/Computer Science Interfaces Series, 55)

Springer

Foundations of Reinforcement Learning with Applications in Finance (Chapman & Hall/CRC Mathematics and Artificial Intelligence Series)

CRC Press

Deep Reinforcement Learning: Fundamentals, Research and Applications

Springer

Reinforcement Learning: Optimal Feedback Control with Industrial Applications (Advances in Industrial Control)

Reinforcement Learning and Dynamic Programming Using Function Approximators: 39 (Automation and Control Engineering)

CRC Press

Frontiers Of Intelligent Control And Information Processing

World Scientific Publishing Company

Deep Reinforcement Learning with Python: RLHF for Chatbots and Large Language Models

The Art of Reinforcement Learning: Fundamentals, Mathematics, and Implementations with Python

Decision Making Under Uncertainty and Reinforcement Learning: Theory and Algorithms: 223 (Intelligent Systems Reference Library, 223)

Springer

Deep Reinforcement Learning in Unity: With Unity ML Toolkit

Apress

Reinforcement Learning: Theory and Python Implementation

Output Feedback Reinforcement Learning Control for Linear Systems (Control Engineering)

Reinforcement Learning – An Introduction

MIT Press

Recent Advances in Soft Computing and Cybernetics: 403 (Studies in Fuzziness and Soft Computing, 403)

Springer

Simulation-Based Algorithms for Markov Decision Processes (Communications and Control Engineering)

Springer