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, Longtao Zheng et al. · 2 citations

#machine learning Preprint Sep 2026

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

Reinforcement learning (RL) has substantially advanced code generation with large language models (LLMs) through executable feedback. The feedback for coding problems mainly comes from specific test cases, where high-quality test cases are often scarce since they should be both sound and discriminative. We thus turn to...

Jiacheng Xu, Wen-Tao Zhang, Zhiyi Lyu et al. · 1 citation