arXiv cs.CLPaperClaude Watch
Headroom-Drift Replay: A Primitive for Principled Replay Control in GRPO
Reasoning models trained with RL are hitting a wall: generating fresh rollouts for every training step is expensive, especially when agents interact with environments. This paper isolates replay selection as a standalone mechanism and shows it works across reasoning and agent tasks. Worth monitoring if you're building reasoning-heavy systems, but the impact depends on whether this becomes standard in Claude or other frontier models' post-training pipelines.