"Machine Learning: Multi-Agent Technologies" ed. by Igor Sheremet, Andries Engelbrecht
ITexLi | 2023 | ISBN: 180356444X 9781803564449 1803564431 9781803564432 1803564458 9781803564456 | 109 pages | PDF | 15 MB
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-Вased Multi-Agent System
5. Modeling Electric Vehicle Charging Station Behavior Using Multiagent System
6. Approximate Dynamic Programming: An Efficient Machine Learning Algorithm
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