Introduces directed network cooperative games with unanimity decomposition that admit closed-form Shapley and Banzhaf values and possess a nonempty core.
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CANTANTE uses contrastive rollouts to attribute system rewards to individual agents, enabling better prompt optimization than prior methods on programming, math, and QA benchmarks.
PC3D trains decentralized policies to recover and use personalized coordination context from local histories, enabling higher returns than baselines on variable-roster cooperative MARL tasks with both seen and unseen team sizes.
citing papers explorer
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A Tractable Class of Cooperative Games Defined by Directed Networks: Unanimity Decomposition and Shapley Value
Introduces directed network cooperative games with unanimity decomposition that admit closed-form Shapley and Banzhaf values and possess a nonempty core.
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CANTANTE: Optimizing Agentic Systems via Contrastive Credit Attribution
CANTANTE uses contrastive rollouts to attribute system rewards to individual agents, enabling better prompt optimization than prior methods on programming, math, and QA benchmarks.
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PC3D: Zero-Shot Cooperation Across Variable Rosters via Personalized Context Distillation
PC3D trains decentralized policies to recover and use personalized coordination context from local histories, enabling higher returns than baselines on variable-roster cooperative MARL tasks with both seen and unseen team sizes.