QwenGyre: An Elastic Reinforcement Learning Framework for Training xLong-Horizon Agents

arXiv:2609.33848 · cs.LG, cs.DC · Submitted 2026-09-27 · Read on arXiv

cs.LG, cs.DC

Submitted: 2026-09-27

Updated: 2026-10-20

Code: https://github.com/anthropics/claude

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Reinforcement Learning — 1× in this paper · explained in 4 episodes

Sources

• SkyRL-Agent: Efficient RL Training for Multi-turn LLM Agent
• RolloutPipe: Overlapping Pipelined Rollout and Training in Disaggregated On-Policy LLM Reinforcement Learning
• SWE-Marathon: Can Agents Autonomously Complete Ultra-Long-Horizon Software Work?
• DynaResize: Runtime GPU Reallocation for Disaggregated LLM Post-Training
• ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL
• Training Long-Context, Multi-Turn Software Engineering Agents with Reinforcement Learning
• AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training
• Branching Policy Optimization: Sandbox-Native Language Agent Reinforcement Learning
• DeepSWE: Measuring Frontier Coding Agents on Original, Long-Horizon Engineering Tasks
• VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use
• Adam: A Method for Stochastic Optimization
• StaleFlow: Staleness-Aware Data Management for Mitigating Data Skewness in Fully Disaggregated RL Post-Training
• AReaL-DTE: Sparse Policy-Weight Transfer for Online Agentic Reinforcement Learning
• IAPO: Influence-Aware Policy Optimization for Credit Assignment in Multi-Turn Service Agents
• TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling
• SPO++: Stream-Aligned Policy Optimization for Asynchronous Agentic RL
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

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