O'Reilly Practical Simulations for Machine Learning: Using Synthetic Data for AI

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

MIT Press

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

Packt Publishing

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

John Wiley & Sons Inc

Deep Reinforcement Learning in Unity: With Unity ML Toolkit

Apress

Reinforcement and Systemic Machine Learning for Decision Making (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

AI Agent Frameworks: Technical Insights and Practical Applications.

Majosta

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

Apress

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

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

Springer

AI Agent Frameworks: Technical Insights and Practical Applications.

Fuzzy Cognitive Maps: Best Practices and Modern Methods

Springer

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

Packt Publishing

Springer KICSS 2013: Knowledge, Information and Creativity Support

Springer

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

Wiley-IEEE Press

Artificial Intelligence and Soft Computing: Behavioral and Cognitive Modeling of the Human Brain

CRC Press

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

Springer

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

Springer

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

Springer

Recent Advances of Neural Network Models and Applications: Proceedings of the 23rd Workshop of the Italian Neural Networks Society (SIREN), May 23-25, ... Innovation, Systems and Technologies, 26)

Springer

Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough: Latest Trends in AI, Volume 2: 956 (Studies in Computational Intelligence, 956)

Springer

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

Springer

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

Springer

Algorithms for Decision Making