AINeutralarXiv – CS AI · Mar 114/10
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Cooperative Game-Theoretic Credit Assignment for Multi-Agent Policy Gradients via the Core
Researchers propose CORA, a new cooperative game-theoretic method for credit assignment in multi-agent reinforcement learning that uses coalition-wise advantage allocation. The approach addresses policy optimization challenges by evaluating marginal contributions of different agent coalitions and demonstrates superior performance across various benchmarks.