# Training-Free Prompt Selection for Efficient Reinforcement Learning With Partial Rollouts

**Published:** October 20, 2026
**Author:** Lei Jiang, Honghui Bao, Yue Zhou, Zhengyao Gu, Langzhou He, Natalie Parde
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/en/articles/training-free-prompt-selection-for-efficient-reinforcement-learning-with

arXiv:2610.24229v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) has emerged as a prominent paradigm for training reasoning models, but its computational cost makes efficient data selection increasingly important. Since training examples…

> From the original source: **arXiv — cs.AI**
> [Read full article at arXiv — cs.AI](https://arxiv.org/abs/2610.24229)

**Tags:** #arXiv #DeepSeek

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