TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems

International Conference on Autonomous Agents and Multiagent Systems (AAMAS '23), 29 May - 2 June 2023, London, United Kingdom.-- 9 pages, 6 figures, 1 table, supplementary material

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Bibliographic Details
Main Authors: Gallici, Matteo, Martin, Mario, Masmitja, Ivan
Other Authors: European Commission
Format: capítulo de libro biblioteca
Language:English
Published: International Foundation for Autonomous Agents and Multiagent Systems 2023-05
Subjects:Multi-Agent Reinforcement Learning, Transformers, Coordination Graphs, Transfer Learning, Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all,
Online Access:http://hdl.handle.net/10261/337855
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