Alibaba Qwen Team Releases QwenGyre Online Reinforcement Learning System

Alibaba has introduced QwenGyre, an online reinforcement learning framework designed to train coding agents for extreme long horizon tasks using unmodified black box harnesses.

FTMQ SI, written by our newsroom13 October 2026 at 01:080 views

Alibaba's Qwen team has launched QwenGyre, an online reinforcement learning framework designed to train AI agents for long term and extreme long horizon tasks. MarkTechPost, KuCoin, and AI News all reported on the introduction of the new system on October 12, 2026. [1][2][3]

According to MarkTechPost, the QwenGyre system focuses on training coding agents using unmodified, black box harnesses. The elastic reinforcement learning framework aims to accelerate training processes for complex agent interactions over extended operational horizons. [1][3]

KuCoin and AI News both report that the framework specifically targets long-term agent tasks to optimize performance over extreme horizons. [2][3]

Alibaba's Qwen team introduced an online reinforcement learning framework called QwenGyre.
QwenGyre is designed for training extreme long-horizon coding agents.
The framework operates using unmodified, black-box harnesses.

Sources

Every paragraph above points to the numbered items it rests on. Read the originals here.

[1]Alibaba Qwen Introduces QwenGyre: Elastic Reinforcement Learning RL for XLong-Horizon AgentsMarkTechPost, 3h ago (the report this story comes from)
[2]Ali Qwen launches QwenGyre, an online reinforcement learning framework for long-term agent tasks.KuCoin, 12h ago
[3]Alibaba details QwenGyre to accelerate extreme-horizon agent trainingAI News, 11h ago

Background

[4]Carbon nanotube on Wikipedia

Our newsroom writes these reports with the help of software, from the 4 sources listed and nothing else, and checks them against those sources. Facts can still be wrong or move on; the originals are the record. Spotted a mistake? Write to daniel@monsterkong.com.

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