Wiley-IEEE Press Model-Based Reinforcement Learning: From Data to Continuous Actions with a Python-based Toolbox (IEEE Press Series on Control Systems Theory and Applications)

Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems (IEEE Press Series on Control Systems Theory and Applications)

Wiley-IEEE Press

Embedded Control for Mobile Robotic Applications (IEEE Press Series on Control Systems Theory and Applications)

Wiley-IEEE Press

Machine Learning Applications: From Computer Vision to Robotics

Wiley-IEEE Press

Neurodynamic Methods for Continuum Robot Control

Wiley-IEEE Press

Methods of Developing Sliding Mode Controllers: Design and Matlab Simulation (IEEE Press Series on Control Systems Theory and Applications)

Wiley-IEEE Press

Infrastructure Robotics: Methodologies, Robotic Systems and Applications (IEEE Press Series on Systems Science and Engineering)

Wiley-IEEE Press

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

Deep Learning and its Applications using Python - Wiley

John Wiley & Sons Inc

Control over Communication Networks: Modeling, Analysis, and Design of Networked Control Systems and Multi-Agent Systems over Imperfect Communication ... on Control Systems Theory and Applications)

Wiley-IEEE Press

Cognitive Analytics and Reinforcement Learning: Theories, Techniques and Applications

Federated Learning for Future Intelligent Wireless Networks

Wiley-IEEE Press

Modular Design Automation of Intelligent Robot Systems

Wiley-IEEE Press

Stability-Constrained Optimization for Modern Power System Operation and Planning (IEEE Press Series on Power and Energy Systems)

Wiley-IEEE Press

Evolutionary Large-Scale Multi-Objective Optimization and Applications

Wiley-IEEE Press

Deep Learning Techniques for Automation and Industrial Applications

Wiley

Machine Learning for Radar Signal Processing

Artificial Intelligence Empowered Smart Energy Systems (IEEE Press Series on Power and Energy Systems)

Wiley-IEEE Press

Data Exfiltration Threats and Prevention Techniques: Machine Learning and Memory-Based Data Security

Wiley-IEEE Press

Principles of Soft Computing Using Python Programming: Learn How to Deploy Soft Computing Models in Real World Applications

Wiley-IEEE Press

Model Optimization Methods for Efficient and Edge AI: Federated Learning Architectures, Frameworks and Applications

Wiley-IEEE Press

Neuro-symbolic AI: Foundations and Applications

Wiley-IEEE Press

Intelligent Data Mining and Analysis in Power and Energy Systems: Models and Applications for Smarter Efficient Power Systems (IEEE Press Series on Power and Energy Systems)

Wiley-IEEE Press

Deep Learning Approaches for Security Threats in IoT Environments

Wiley-IEEE Press

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

Springer