Christopher Amato

Associate Professor
  Khoury College of Computer Sciences
Northeastern University

camato at ccs dot neu dot edu

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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]

Tutorial slides:

  • Tutorial: A Concise Introduction to Cooperative Multi-Agent Reinforcement Learning. AAMAS-25. Christopher Amato and Frans Oliehoek. May 2025.

Overview videos:

  • Scalable and Robust Multi-Agent Reinforcement Learning. Microsoft Research Reinforcement Learning Day 2019.[youtube]
  • A Short Introduction to Cooperative Multi-Agent Reinforcement Learning. Deep RL Course. Sharif University of Technology. 2025.[youtube]

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. [pdf][code]

  • Modeling Agent Interactions via Attention, Equivariance, and Hypergraphs: A Mini-Review in Multi-Agent Reinforcement Learning. Xiyu Yang. December 2025. [pdf][code]

  • Expanding the JaxMARL Suite of Environments and Algorithms. Rupali Bhati. December 2025. [pdf][code]

  • Measuring and Benchmarking Exploration Difficulty in Cooperative MARL. Nichols Crawford Taylor. December 2025. [pdf][code]

  • Is State Enough for QMix and QPLEX? Ethan Rathbun. December 2025. [pdf][code]

  • A Short Survey on Macro-Action Based Multi-Agent Reinforcement Learning.   Wo Wei Lin. December 2025. [pdf]

  • Learning Decentralized LLM Collaboration with Centralized Critic. Shuo Liu. December 2025. [pdf][code]

  • Learning Adaptive Communication Intervals in Attentional Multi-Agent Reinforcement Learning. Saki Imai. December 2025. [pdf][code]

  • Closer LOOk at Emergent Language: Are Communications Grounded? Asteria Kaeberlein. December 2025. [pdf][code]