Qwen introduces QwenGyre elastic RL for extreme-long-horizon agent training

Alibaba's Qwen team introduces QwenGyre, an elastic RL system for extreme-long-horizon agent training with an Elastic Scheduler and a Trajectory Processor, reporting speedups and a NL2RepoBench gain.

This update bears on 3 kinds of work in 2 markets. Highest level accepted: L2 Partial automation.

Highest accepted

L2Partial automation

Work

3

Markets

2

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198K

The work it bears on

Highest level first. Open a kind of work to see everything else that moved it.

• L2Partial automation
  Implement tool use and agent workflowsModel applications and agent systems
  L2 Partial automationFrom the publisher only
• L1Assisted
  Develop algorithms and study computational propertiesComputing and engineering research
  L1 AssistedFrom the publisher only
• L1Assisted
  Build research prototypes and run comparative experimentsComputing and engineering research
  L1 AssistedFrom the publisher only

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