arXiv cs.LG
· Papers
RLPF: Reinforcement Learning from Performance Feedback for Code Generation
arXiv:2607.27271v1 Announce Type: new Abstract: Code models are increasingly trained with execution feedback, but most training signals still stop at correctness. This leaves an important gap for systems code: two programs can pass the same tests while differing greatly in runtime. We study how to train code agents to