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Steering Equilibrium Selection in Regularized Self-Play via the Reference Policy

Leal, Luis
arXiv (All) · Papers
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68t0591a05artificial-intelligencecomputer-science-and-game-theoryi-2-11i-2-6machine-learning
Regularized self-play -- the family behind DeepNash's Stratego play -- drives a two-player zero-sum policy to a Nash equilibrium by best-responding to a slowly moving, entropy-regularized reference policy $ρ$. When the game has a polytope of value-equivalent equilibria, the regularizer silently brea
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