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IR-PRM+ with Previous-Utility Prediction: Constant Regret and Best-Iterate Convergence

arXiv:2610.19016v1 Announce Type: new Abstract: Regret matching (and its variants) and counterfactual regret minimization are central algorithms in practice for normal-form and extensive-form game solving. Yet these have historically lacked the stronger theoretical convergence guarantees available…

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  1. 2026-10-15 04:00 · arXiv cs.LG
    IR-PRM+ with Previous-Utility Prediction: Constant Regret and Best-Iterate Convergence

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