Sheremet I. Machine Learning. Multi-Agent Technologies 2023

Textbook in PDF format

This book discusses 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 consists of six chapters in three sections that discuss the integration, applications, and advanced results of MATs and ML.
A State-of-the-Art Survey on Various Domains of Multi-Agent Systems and Machine Learning
Deep Multiagent Reinforcement Learning Methods Addressing the Scalability Challenge
Role of an Optimal Multiagent Scheduling in Different Applications Using ML
On an Approach to Knowledge Management and the Development of the Knowledge-Вased Multi-Agent System
Modeling Electric Vehicle Charging Station Behavior Using Multiagent System
Approximate Dynamic Programming: An Efficient Machine Learning Algorithm