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Huale Li

1 accepted papers

2026

PT-DCFR: Accelerating and Improving Deep CFR Using Population Based Training (Student Abstract)

AAAI 2026technical

Deep CFR enables end-to-end approximation of Nash equilibria in imperfect-information games(IIGs) but is sensitive to hyperparameters, making manual tuning inefficient. To address this, we propose PT-DCFR, which integrates Population-Based Training(PBT) with Deep CFR to dynamically optimize hyperpar

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