Multi-Agent Reinforcement Learning: Foundations and Modern Approaches

Textbook published by MIT Press (2024)

Multi-Agent Reinforcement Learning: Foundations and Modern Approaches Download News Citation Code Slides Contents Praise Multi-Agent Reinforcement Learning: Foundations and Modern Approaches Stefano V. Albrecht , Filippos Christianos , Lukas Schäfer Published by MIT Press, 2024 The first comprehensive introduction to multi-agent reinforcement learning, an area of machine learning in which multiple decision-making agents learn to optimally interact in a shared environment. The book can be ordered online from stores (see MIT Press page ). The free PDF version, algorithm code, and lecture slides

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• Jacqline Geng

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