Batched Contextual Reinforcement II: Does RLVR Need Long Rollout Windows?
Published in arXiv preprint, 2026
Recommended citation: Bangji Yang, Hongbo Ma, Ruihan Guo, Jiajun Fan, Xi Zhu, Ge Liu. "Batched Contextual Reinforcement II: Does RLVR Need Long Rollout Windows?" arXiv preprint arXiv:2610.22887, 2026. https://arxiv.org/abs/2610.22887
A continuation of Batched Contextual Reinforcement. Concurrent Constraint Reinforcement places three independently verifiable problems in one capped training completion, so answers finished before truncation keep their credit and a shared budget favors shorter reasoning without a length penalty; with an 8,000-token window it uses about 80% fewer tokens per training step than single-problem GRPO with a 32k window.