Stochastic Optimization Methods for Policy Evaluation in Reinforcement Learning (Foundations and Trends® in Optimization)

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

Mathematical Foundations of Reinforcement Learning

Springer

Reinforcement Learning for Decision & Optimal Control - Springer

Springer

Reinforcement Learning for Sequential Decision and Optimal Control

Springer

Control Systems and Reinforcement Learning

Cambridge University Press

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

Springer

Reinforcement Learning & Optimal Control: Theorems, Proofs, and Python Implementations (Computational Mathematics Library)

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

Springer

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

Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more

Packt Publishing

Reinforcement Learning – An Introduction (Adaptive Computation and Machine Learning series)

MIT Press

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

MIT Press

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

Apress

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

Apress

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

John Wiley & Sons Inc

Frontiers Of Intelligent Control And Information Processing

World Scientific Publishing Company

Deep Reinforcement Learning in Unity: With Unity ML Toolkit

Apress

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

CRC Press

Statistical Reinforcement Learning: Modern Machine Learning Approaches (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

CRC Press

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

CRC Press

Reinforcement Learning: Theory and Python Implementation

Springer

Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning: 25 (Operations Research/Computer Science Interfaces Series)

Springer

Algorithms for Decision Making

MIT Press

Optimal Learning (Wiley Series in Probability and Statistics)

Wiley