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Nikita Khomich

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#artificial intelligence Preprint Sep 2026

EPIG-Tree: Compute-Optimal Branching for Gradient-Efficient Reinforcement Learning

Empirically, EPIG reduces gradient MSE in cloned-state control, winning in all nine dense continuous-control environments of a 13-environment sweep and recovering the reference gradient direction near-perfectly, and it improves frozen-LLM gradient calibration relative to entropy branching.

Nikita Khomich, L. Hermansson, Ido Hakimi · 0 citations

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