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Reinforcement Learning for Code Optimization

9 upvotes · 28 JUL 2026 · Pierre Chambon, Kunhao Zheng, Juliette Decugis et al.

This paper uses reinforcement learning to optimize code for speed while maintaining correctness, and it finds that the approach can significantly improve performance, even when the reward function is noisy or sparse. Practitioners might care because optimizing code for speed can be crucial in many applications, and this research provides a promising method for achieving that goal.

continual learningreinforcement learningcode optimizationbenchmarkingGRPO