Author

Devin Chen

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#artificial intelligence Preprint Oct 2026

Improving Math Reasoning through Value-guided Informative Search

Reinforcement learning with verifiable rewards (RLVR) has substantially improved the mathematical reasoning capabilities of large language models. Recent work introduces search into RLVR rollouts to increase trajectory diversity, but diversity alone does not ensure that the search-induced rollout policy improves upon t...

Shao-Huai Liu, Yu-Ning Wu, Hao Liu et al. · 0 citations

#artificial intelligence Preprint Mar 2026

Hindsight-Anchored Policy Optimization: Learning Through Hindsight with Thompson Sampling-Inspired Adaptive Gating

HAPO improves the average accuracy of three major mixed-policy methods while maintaining training stability, and can be layered on top of existing mixed-policy methods in a generalizable manner.

Yuning Wu, Ke Wang, Hao Liu et al. · 0 citations