Towards True Lossless Sparse Communication in Multi-Agent Systems
Author:
Affiliation:
1. Robotics Institute, Carnegie Mellon University,Pittsburgh,PA,USA,15213
2. Massachusetts Institute of Technology,Department of Aeronautics and Astronautics,Cambridge,MA,USA,02139
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161322.pdf?arnumber=10161322
Reference29 articles.
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3. Learning transferable cooperative behavior in multi-agent teams;agarwal;Proc of International Conference on Autonomous Agents and Multiagent Systems,0
4. Tarmac: Targeted multi-agent communication;das;International Conference on Machine Learning,2019
5. Learning when to communicate at scale in multiagent cooperative and competitive tasks;singh;International Conference on Learning Representations,0
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1. Accelerating language emergence by functional pressures;PLOS ONE;2023-12-14
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