arxiv
PublishedOctober 28, 2026 at 4:00 AM
Improving Reasoning with Rollout Agreement for Group-Based Policy Optimization
Publisher summary· verbatim
arXiv:2610.34951v1 Announce Type: new Abstract: Recent methods for Reinforcement Learning with Verifiable Rewards (RLVR) use rollout diversity to improve reasoning performance or training efficiency. Despite these gains, the extent to which differences among correct-answer rollouts reflect useful al
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Originally published on arxiv ↗