Unverified50% confidenceOpinionExact time

Long-horizon training demands elasticity and asynchrony far more than conventional reinforcement learning.

1

Sources

50%

Confidence

Long-term

Relevance

10/12/2026

First Seen

Sources

Alibaba's Qwen Introduces QwenGyre: An Elastic Reinforcement Learning Framework for Ultra-Long-Horizon Agents

Related Entities

长周期强化学习concept

Related Claims

UnverifiedReinforcement learning requires massive numbers of interaction samples, so environment running speed and parallelization capability are critical for shortening training cycles74% similar

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