7 papers
Epistemic Gain, Aleatoric Cost: Uncertainty Decomposition in Multi-Agent Debate for Math Reasoning
Dan Qiao, Binbin Chen, Fengyu Cai +7
Multi-Agent Debate (MAD) has shown promise in improving reasoning and reducing hallucinations, yet it remains unclear how information exchange shapes individual reasoning behavior.…
Healthcare Mechanisms from Policy-as-Code Search under Strategic Provider Response
Zihan Wang, Xiang Xu, Hongyuan Zha +1
Healthcare mechanisms are inseparable from the strategic provider response they induce: existing healthcare AI benchmarks hold this response fixed and so cannot evaluate mechanisms…
Offline Multi-agent Reinforcement Learning via Sequential Score Decomposition
Dan Qiao, Wenhao Li, Shanchao Yang +2
Offline cooperative multi-agent reinforcement learning (MARL) faces unique challenges due to distributional shifts, particularly stemming from the high dimensionality of joint acti…
Talk, Judge, Cooperate: Gossip-Driven Indirect Reciprocity in Self-Interested LLM Agents
Shuhui Zhu, Yue Lin, Shriya Kaistha +5
Indirect reciprocity, which means helping those who have helped others, is difficult to sustain among decentralized, self-interested LLM agents without reliable reputation systems.…
The Reciprocity Gradient
Yue Lin, Pascal Poupart, Shuhui Zhu +5
Communication is fundamental to sustaining reciprocity and cooperation in strategic interactions. We identify and formulate the influence attribution problem as the central optimiz…
Policy-Conditioned Policies for Multi-Agent Task Solving
Yue Lin, Shuhui Zhu, Wenhao Li +5
In multi-agent tasks, the central challenge lies in the dynamic adaptation of strategies. However, directly conditioning on opponents' strategies is intractable in the prevalent de…