Cooperative Multi-Agent Learning for Navigation via Structured State Abstraction

Cooperative multi-agent reinforcement learning (MARL) for navigation enables agents to cooperate to achieve their navigation goals. Using emergent communication, agents learn a communication protocol to coordinate and share information that is needed to achieve their navigation tasks. In emergent co...

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Veröffentlicht in:	arXiv.org 2024-02
Hauptverfasser:	Abdelaziz, Mohamed K, Elbamby, Mohammed S, Samarakoon, Sumudu, Bennis, Mehdi
Format:	Artikel
Sprache:	eng
Schlagworte:	Communication Complexity Computer architecture Multiagent systems Navigation Neural networks Training
Online-Zugang:	Volltext
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