SPIN Unprocessed October 15, 2026 ai_technology research
IR-PRM+ with Previous-Utility Prediction: Constant Regret and Best-Iterate Convergence
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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 to optimistic and extra-gradient methods. Recent work introduced IREG-PRM+, a regret matching variant which does have strong theoretical convergence guarantees. However, it relies on a simultaneous, ex
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