Shapley Machine reshapes rewards and TD targets so per-agent value functions approximately satisfy the Shapley axioms, and it beats the prior POAM baseline in several NAHT test environments.
Improving the efficiency and efficacy of multi-agent reinforcement learning on complex railway networks with a local-critic approach
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Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork
Shapley Machine reshapes rewards and TD targets so per-agent value functions approximately satisfy the Shapley axioms, and it beats the prior POAM baseline in several NAHT test environments.