Author

Lang Feng

Zhejiang University

h-index 8 View on Semantic Scholar

We have 2 of 15 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#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

Preprint Aug 2026

SAPO: Single-Rollout Autoregressive Policy Optimization for Agentic Reinforcement Learning

This work proposes Single-rollout Autoregressive Policy Optimization (SAPO), a low-memory and compute-efficient framework in which the policy and value functions share a single autoregressive backbone, and introduces a trajectory-level generalized advantage estimator that combines lambda-returns with batch normalizatio...

D. Liang, Lang Feng, Bo An et al. · 2 citations