MIT Press Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

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

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

Reinforcement and Systemic Machine Learning for Decision Making (IEEE Press Series on Systems Science and Engineering)

Wiley-IEEE Press

Human-Robot Interaction Control Using Reinforcement Learning (IEEE Press Series on Systems Science and Engineering)

Wiley-IEEE Press

Reinforcement Learning for Decision & Optimal Control - Springer

Reinforcement Learning for Sequential Decision and Optimal Control

Mathematical Foundations of Reinforcement Learning

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

CRC Press

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

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

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

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

Deep Reinforcement Learning: Fundamentals, Research and Applications

Springer

Reinforcement Learning – An Introduction

MIT Press

Frontiers Of Intelligent Control And Information Processing

World Scientific Publishing Company

Reinforcement Learning: Theory and Python Implementation

Deep Reinforcement Learning in Unity: With Unity ML Toolkit

Apress

Control Systems and Reinforcement Learning

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

Springer

Algorithms for Decision Making

Decision Making: Uncertainty, Imperfection, Deliberation and Scalability: 538 (Studies in Computational Intelligence, 538)

Springer

Hands-On Artificial Intelligence for Beginners: An introduction to AI concepts, algorithms, and their implementation

Packt Publishing

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

Springer

AI Agent Frameworks: Technical Insights and Practical Applications.

Majosta