John Wiley & Sons Inc Deep Reinforcement Learning and Its Industrial Use Cases: AI for Real-World Applications

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

MIT Press

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

Wiley-IEEE Press

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

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

CRC Press

Springer Security of Cyber-Physical Systems - Volume 396

Springer

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

Springer

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

Wiley-IEEE Press

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

Springer

Frontiers Of Intelligent Control And Information Processing

World Scientific Publishing Company

Deep Reinforcement Learning: Fundamentals, Research and Applications

Springer

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

Apress

Reinforcement Learning for Decision & Optimal Control - Springer

Springer

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

Springer

Reinforcement Learning for Sequential Decision and Optimal Control

Springer

Proceedings of 2021 Chinese Intelligent Systems Conference: Volume II: 804 (Lecture Notes in Electrical Engineering, 804)

Springer

Proceedings of 2021 Chinese Intelligent Systems Conference: Volume I: 803 (Lecture Notes in Electrical Engineering, 803)

Springer

Deep Reinforcement Learning

Springer

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

Apress

Springer Soft Computing for Data Analytics and Classification

Springer

Intelligent Systems and Applications: Proceedings of the 2021 Intelligent Systems Conference (IntelliSys) Volume 3: 296 (Lecture Notes in Networks and Systems, 296)

Springer

Mathematical Foundations of Reinforcement Learning

Springer

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

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