Author

Yang Liu

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#artificial intelligence Preprint Oct 2026

PEARL: Process-Experience Aware Reinforcement Learning for Multi-Turn Agents

Terminal rewards make multi-turn agents trainable without step-level annotations, but group-relative advantages provide little guidance about which intermediate decisions to adjust. Failed trajectories also contain reasonable actions, while unfavorable decision patterns can recur as training proceeds. We introduce PEAR...

Jie Yang, Mian-Qiu Huang, Yi-Wei Zhao et al. · 0 citations

#machine learning Preprint Sep 2026

Two-Stage Reinforcement Learning for Sound and Adversarial Test Generation in Code LLMs

This work proposes Test Cases Scaling (TCS), a two-stage RL framework for effective test generation that improves both pass@1 and inference-time answer selection according to generated tests across TACO and LiveCodeBench.

Jiacheng Xu, Wen-Tao Zhang, Zhiyi Lyu et al. · 2 citations