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Tian-Tian He

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#artificial intelligence Preprint Sep 2026

From Imitation to Reward Discovery: On-Policy Warmup for Agentic RL

Reinforcement learning with a verifiable reward (RLVR) offers a scalable approach to training language-model agents, yet sparse outcome rewards can leave early training with little signal for policy improvement. We identify an On-Policy Acceleration Phenomenon: in our main comparisons, RLVR initialized with on-policy d...

Yi-Tong Qiao, Tian-Tian He, Lei Liu et al. · 0 citations

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