Finite-memory truncation of infinite-horizon POMGs produces epsilon-Nash equilibria that converge to exact Nash equilibria as truncation length increases under filter stability conditions.
Partially observable multi-agent rl with (quasi- ) efficiency: The blessing of information sharing
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Nash Approximation Gap in Truncated Infinite-horizon Partially Observable Markov Games
Finite-memory truncation of infinite-horizon POMGs produces epsilon-Nash equilibria that converge to exact Nash equilibria as truncation length increases under filter stability conditions.