TMAC: a Transformer-based partially observable multi-agent communication method

Effective communication plays a crucial role in coordinating the actions of multiple agents. Within the realm of multi-agent reinforcement learning, agents have the ability to share information with one another through communication channels, leading to enhanced learning outcomes and successful goal...

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Bibliographic Details
Main Authors: Xuesi Li, Shuai Xue, Ziming He, Haobin Shi
Format: Article
Language:English
Published: PeerJ Inc. 2025-04-01
Series:PeerJ Computer Science
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Online Access:https://peerj.com/articles/cs-2758.pdf
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