Author

Zhiyi Lyu

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#artificial intelligence Preprint Sep 2026

AgentBrew: Offline Tool-Use Agent Learning from Raw Real-World Trajectories

AgentBrew is proposed, an offline training framework that learns effective tool-use policies from a single batch of raw interaction trajectories, without task verifiers or iterative on-policy rollouts, and demonstrates that fine-grained offline learning can recover useful supervision from raw trajectories that filterin...

Zhiyi Lyu, Ye-Wen Li, Long-Tao Zheng et al. · 2 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