Scaling Up Game Theory: Achievable Set Methods for Efficiently Solving Stochastic Games of Complete and Incomplete Information.

national conference on artificial intelligence（2011）

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摘要

Proposed Thesis: Achievable set methods can efficiently compute useful game theoretic solutions to general multi-agent reinforcement learning problems.

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