ITexLi | 2023 | ISBN: 180356444X 9781803564449 1803564431 9781803564432 1803564458 9781803564456 | 109 pages | PDF | 15 MB

This book discuss multi-agent technologies (MATs) and machine learning (ML). These tools can be integrated and applied in industry, commerce, energy, medicine, psychology, and other areas

This volume discusses the integration, applications, and advanced results of MATs and ML.

Contents

1. A State-of-the-Art Survey on Various Domains of Multi-Agent Systems and Machine Learning

2. Deep Multiagent Reinforcement Learning Methods Addressing the Scalability Challenge

3. Role of an Optimal Multiagent Scheduling in Different Applications Using ML

4. On an Approach to Knowledge Management and the Development of the Knowledge-?ased Multi-Agent System

5. Modeling Electric Vehicle Chag Station Behavior Using Multiagent System

6. Approximate Dynamic Programming: An Efficient Machine Learning Algorithm