Qwen · Agent RL Framework

QwenGyre

A framework from the Qwen team for online reinforcement learning on very long-horizon LLM agents, where one run can last hours, take hundreds of environment steps and use nearly 1M tokens. It moves GPUs between rollout and training without stopping live runs, and its trajectory processor rebuilds branching histories, scores partial progress and removes duplicate paths. The paper says that on Qwen 3.8 2.4T with 700K-token rollouts, NL2RepoBench rose from 52.5% to 58.5% in 48 steps, with speedups of up to 1.85x over colocated and 1.78x over asynchronous setups, all self-reported. Posted 27 September; follows the Qwen3.8 2.4T open weights covered in week 33.