4 citations · 6 across the 9 of their papers we have counts for
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cs.MA2026
FlowMAS: Learning Multi-Agent Workflow Topology via Information-guided Generative Flow Network
Haitao Wang, Chenjing Liang, Haipeng Zhang +6
Automated multi-agent systems offer clear advantages over manually designed ones in scalability and adaptability, but existing workflow topology methods still face important limita…
cs.MA2023★ 4 cited
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization
Siqi Shen, Chennan Ma, Chao Li +5
Multi-agent systems are characterized by environmental uncertainty, varying policies of agents, and partial observability, which result in significant risks. In the context of Mult…