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Self-adaptive PSRO: Towards an Automatic Population-based Game Solver
(2) We propose the self-adaptive PSRO (SPSRO) by casting the hyperparameter value selection of the parametric PSRO as a hyperparameter optimization (HPO) problem where our objective is to learn an HPO policy that can self-adaptively determine the optimal hyperparameter values during the running of the parametric PSRO.
A Game-Theoretic Perspective of Generalization in Reinforcement Learning
However, there is not a unified formulation of the various schemes, as well as the comprehensive comparisons of methods across different schemes.
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