Author

Kang-Hui Tian

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#machine learning Preprint Sep 2026

RL Starts before RL: On Policy Distillation for Better Reinforcement Learning

Reinforcement learning (RL) improves reasoning, but its performance depends on the policy from which training begins. We study on-policy distillation (OPD) as a preparation stage for RL and ask whether its benefits extend beyond improvements in the distilled model's initial accuracy. Under shared RL settings, students...

Shuai Dong, Yong-Fu Zhu, Yu-Qi Xu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Rethinking Critic Learning in PPO: Understanding and Mitigating Value Flattening

Value Flattening is identified as an important yet overlooked failure mode of critic learning in standard PPO and a simple sparse supervision strategy can mitigate it; SParse Proximal Policy Optimization is introduced, which applies the value loss to only a few well-separated states in each response to mitigate both ef...

Yi-Zhuo Li, Jian-Hao Yan, Yun Luo et al. · 1 citation