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

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

Mathematical Foundations of Reinforcement Learning

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

Reinforcement Learning: Theory and Python Implementation

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

CRC Press

Control Systems and Reinforcement Learning

Cambridge University Press

Reinforcement Learning Algorithms: Analysis and Applications: 883 (Studies in Computational Intelligence, 883)

Springer

Stochastic Recursive Algorithms for Optimization: Simultaneous Perturbation Methods: 434 (Lecture Notes in Control and Information Sciences, 434)

Springer

Stochastic Learning and Optimization: A Sensitivity-Based Approach

Springer

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

Springer

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

Output Feedback Reinforcement Learning Control for Linear Systems (Control Engineering)

Bioinspired Heuristics for Optimization: 774 (Studies in Computational Intelligence, 774)

Springer

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

CRC 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

Practical Simulations for Machine Learning: Using Synthetic Data for AI

O'Reilly

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

MIT Press

Wiley Reinforcement Learning and Stochastic Optimization Book

Wiley

Adaptive Computing in Design and Manufacture Vi (Adaptive Computing in Design and Manufacture Conference)

Springer

Probability Collectives: A Distributed Multi-agent System Approach for Optimization: 86 (Intelligent Systems Reference Library, 86)

Springer

Real-Time Optimization by Extremum-Seeking Control

Wiley

Decision Making Under Uncertainty and Reinforcement Learning: Theory and Algorithms: 223 (Intelligent Systems Reference Library, 223)

Springer