Reinforcement Learning for Decision & Optimal Control - Springer

Reinforcement Learning for Sequential Decision and Optimal Control

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

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

MIT Press

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

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

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

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

CRC Press

Deep Reinforcement Learning: Fundamentals, Research and Applications

Springer

Frontiers Of Intelligent Control And Information Processing

World Scientific Publishing Company

Mathematical Foundations of Reinforcement Learning

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

Control Systems and Reinforcement Learning

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

Wiley-IEEE Press

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

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

Springer

Algorithms for Decision Making

Reinforcement Learning, Logic and Evolutionary Computation: A Learning Classifier System Approach to Relational Reinforcement Learning

LAP Lambert Academic Publishing

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

Springer

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

Wiley-IEEE Press

Learning in Cooperative Multi-Agent Systems: Distributed Reinforcement Learning Algorithms and their Application to Scheduling Problems

Südwestdeutscher Verlag für Hochschulschriften

Reinforcement Learning – An Introduction

MIT Press