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arXiv cs.LG
arXiv cs.LG
7/31/2026
RLPF: Reinforcement Learning from Performance Feedback for Code Generation

RLPF: Reinforcement Learning from Performance Feedback for Code Generation

Short summary

RLPF is a reinforcement learning method that trains code agents to prefer faster correct programs, not just passing tests. It uses a staged reward: failed programs are ordered by execution progress, correct programs ranked by relative efficiency improvement. Fine-tuning Qwen3-32B with RLPF raises correct-and-runnable solutions from 11.1% to 54.6% and improves relative efficiency from 8.1% to 38.6%.

  • •RLPF turns execution outcomes into staged rewards for code generation training
  • •Fine-tuning Qwen3-32B raises correct solutions from 11.1% to 54.6% and efficiency from 8.1% to 38.6%
  • •Optimization behavior transfers modestly to EffiBench-X

Generated with AI, which can make mistakes.

#research-breakthrough#ai-tools
Read full article at arXiv cs.LG

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