PSRO functions at a broader level. It keeps a collection of strategies per player, constructs a payoff matrix by calculating expected outcomes for all strategy combinations, and employs a meta-strategy solver to assign probabilities across the set. Best responses are iteratively trained against this distribution and included in the pool. The meta-strategy solver—which determines the population distribution—is the key element targeted for automated improvement in this study. Experiments utilized precise best response calculations and exact payoff values, eliminating randomness from Monte Carlo sampling.
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