3 papers
cs.AI2024
AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning
Guangchong Zhou, Zeren Zhang, Guoliang Fan
Exploration in cooperative multi-agent reinforcement learning (MARL) remains challenging for value-based agents due to the absence of an explicit policy. Existing approaches includ…
cs.MA2023
Mastering Complex Coordination through Attention-based Dynamic Graph
Guangchong Zhou, Zhiwei Xu, Zeren Zhang +1
The coordination between agents in multi-agent systems has become a popular topic in many fields. To catch the inner relationship between agents, the graph structure is combined wi…
cs.MA2023
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu, Bin Zhang, Dapeng Li +3
Value decomposition methods have gained popularity in the field of cooperative multi-agent reinforcement learning. However, almost all existing methods follow the principle of Indi…