• Title: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
• Author(s) Stefano V. Albrecht, Filippos Christianos, Lukas Schäfer
• Publisher: The MIT Press (December 17, 2024); eBook (Creative Commons Licensed)
• License(s): Creative Commons License (CC)
• Hardcover: 394 pages
• eBook: PDF (394 pages)
• Language: English
• ISBN-10: 0262049376
• ISBN-13: 978-0262049375
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Book Description

The first comprehensive introduction to Multi-Agent Reinforcement Learning (MARL), covering MARL’s models, solution concepts, algorithmic ideas, technical challenges, and modern approaches.

• Stefano V. Albrecht is Associate Professor in the School of Informatics at the University of Edinburgh, where he leads the Autonomous Agents Research Group.

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• Reinforcement Learning
• Machine Learning
• Neural Networks and Depp Learning
• Artificial Intelligence
• Statistics, Mathematical Statistics, and SAS Programming
• Probability and Stochastic Processe

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