Author

Tankun Li

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Preprint Aug 2026

LEAP: Lean Environment-Feedback via Adaptive Pruning for Code RL in GPU Kernel Generation

This work introduces LEAP (Lean Environment-Feedback via Adaptive Pruning), a scalable and computationally efficient multi-turn RL framework optimized for low-level hardware accelerator alignment and proposes a Rank-Based Reward formulation, establishing a practical paradigm for low-level code RL.

Tankun Li, Zhi Chen, Yao-Hua Tang · 0 citations