Author

Zhong-Yu Wei

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#artificial intelligence Preprint Sep 2026

ParaAgent: Reinforcing Parallel Acting in Open-World Tool Environments

Language model agents are increasingly deployed in open-world tool environments, which require balancing exploring unknown capabilities and exploiting known ones. Existing methods face a performance-efficiency tradeoff: they either rigidly decouple exploration and execution or interleave them without coordination. We a...

Shengbin Yue, Hong-Ru Wang, Siyuan Wang et al. · 0 citations

#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