# QwenGyre

QwenGyre is an end-to-end framework for extreme-long-horizon (xLong) online agent RL that elastically reallocates GPUs between rollout and training without interrupting live harness executions, while its trajectory processor reconstructs branching executions into shared-prefix trajectory trees, scores partial progress after timeouts, and deduplicates sampled trajectories by role priority; scaled to Qwen 3.8 2.4T with 700K tokens per rollout, it raises NL2RepoBench pass rate from 52.5% to 58.5% in 48 steps and delivers up to 1.85x and 1.78x end-to-end speedups over Colocate and Async.

QwenGyre is an end-to-end framework for extreme-long-horizon (xLong) online agent RL that elastically reallocates GPUs between rollout and training without interrupting live harness executions, while its trajectory processor reconstructs branching executions into shared-prefix trajectory trees, scores partial progress after timeouts, and deduplicates sampled trajectories by role priority; scaled to Qwen 3.8 2.4T with 700K tokens per rollout, it raises NL2RepoBench pass rate from 52.5% to 58.5% in 48 steps and delivers up to 1.85x and 1.78x end-to-end speedups over Colocate and Async.