Unverified70% confidenceFactExact time
Counterfactual Regret Minimization (CFR) was proposed by Zinkevich et al. in 2007 and was originally used to solve Nash equilibria in large-scale imperfect information games.
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9/11/2026
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UnverifiedThe choice of bottleneck dimensionality is essentially a trade-off between information compression rate and reconstruction quality, corresponding to rate-distortion theory; Shannon proved in 1959 that there exists a theoretical minimum coding rate lower bound for a given distortion tolerance.61% similarUnverifiedMCCFR (Monte Carlo CFR) reduces the cost of each iteration by sampling only a subset of game paths per iteration, enabling CFR to scale to larger games.60% similarUnverifiedZinkevich et al. proved in 2007 that after T iterations, the distance between the average strategy produced by CFR and the Nash equilibrium converges at a rate of O(1/√T).60% similar
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