Author

Sirui Zhang

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Jul 2026

RLPF: Reinforcement Learning from Performance Feedback for Code Generation

This work proposes RLPF, reinforcement learning from performance feedback, which turns execution outcomes into a staged reward, and suggests that code agents can be trained not only to pass tests, but also to optimize the programs they write.

Huihao Jing, Hao-Zhe Cui, Wenbin Hu et al. · arXiv.org · 0 citations