Survey papers:
- An Initial Introduction to Cooperative Multi-Agent Reinforcement Learning. Christopher Amato. In arXiv, December 2024. [arXiv]
- An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning. Christopher Amato. In arXiv, September 2024. [arXiv]
- An Introduction to Decentralized Training and Execution in Cooperative Multi-Agent Reinforcement Learning. Christopher Amato. In arXiv, May 2024. [arXiv]
- A Concise Introduction to
Decentralized POMDPs. Frans A. Oliehoek
and Christopher Amato. SpringerBriefs in Intelligent
Systems, Springer, 2016. [Author
pre-print] [link
to book website] [SpringerLink]
Slides:
- Tutorial: A Concise Introduction to Cooperative Multi-Agent Reinforcement Learning. AAMAS-25. Christopher Amato and Frans Oliehoek. May 2025.
Papers from the cooperative MARL seminar:
- Optimal Heterogeneity in GPPO: How the Number of
Agent Types Affects Coordination in Multi-Agent
Discovery. Zhifei Yu. December 2025.
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