A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem

A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem. Barde, P., Foerster, J., Nowrouzezahrai, D., & Zhang, A. In Dastani, M., Sichman, J. S., Alechina, N., & Dignum, V., editors, Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2024, Auckland, New Zealand, May 6-10, 2024, pages 141–150, 2024. International Foundation for Autonomous Agents and Multiagent Systems / ACM.

Paper doi bibtex

@inproceedings{DBLP:conf/atal/BardeFNZ24,
  author       = {Paul Barde and
                  Jakob Foerster and
                  Derek Nowrouzezahrai and
                  Amy Zhang},
  editor       = {Mehdi Dastani and
                  Jaime Sim{\~{a}}o Sichman and
                  Natasha Alechina and
                  Virginia Dignum},
  title        = {A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning
                  Coordination Problem},
  booktitle    = {Proceedings of the 23rd International Conference on Autonomous Agents
                  and Multiagent Systems, {AAMAS} 2024, Auckland, New Zealand, May 6-10,
                  2024},
  pages        = {141--150},
  publisher    = {International Foundation for Autonomous Agents and Multiagent Systems
                  / {ACM}},
  year         = {2024},
  url          = {https://dl.acm.org/doi/10.5555/3635637.3662861},
  doi          = {10.5555/3635637.3662861},
  timestamp    = {Fri, 03 May 2024 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/atal/BardeFNZ24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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