Strategy-Based Warm Starting for Regret Minimization in Games
AAAI, pp. 432-438, 2016.
Counterfactual Regret Minimization (CFR) is a popular iterative algorithm for approximating Nash equilibria in imperfect-information multi-step two-player zero-sum games. We introduce the first general, principled method for warm starting CFR. Our approach requires only a strategy for each player, and accomplishes the warm start at the co...More
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