303 citations · 533 across the 92 of their papers we have counts for
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cs.MA2024
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing
Haobin Jiang, Ziluo Ding, Zongqing Lu
Exploration in decentralized cooperative multi-agent reinforcement learning faces two challenges. One is that the novelty of global states is unavailable, while the novelty of loca…
cs.MA2024★ 2 cited
Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey
Jiechuan Jiang, Kefan Su, Zongqing Lu
Cooperative multi-agent reinforcement learning is a powerful tool to solve many real-world cooperative tasks, but restrictions of real-world applications may require training the a…
cs.MA2022
Multi-Agent Coordination via Multi-Level Communication
Ziluo Ding, Zeyuan Liu, Zhirui Fang +3
The partial observability and stochasticity in multi-agent settings can be mitigated by accessing more information about others via communication. However, the coordination problem…