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Evan Assmus

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Preprint Aug 2026

SP3O: Reinforcement Learning from Segment Preferences without Reward Modeling

This paper introduces a novel reward-model-free, critic-free, and gradient-based PbRL algorithm compatible with segment preferences named Segment Pairwise Proximal Policy Optimization (SP3O), and provides a theoretical basis for the algorithm and analyze the tradeoff in choosing the segment length.

Evan Assmus, Qining Zhang, Lei Ying · 0 citations

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