QwenGyre: An Elastic Reinforcement Learning Framework for Training xLong-Horizon Agents
cs.LG, cs.DC
Submitted: 2026-09-27
Updated: 2026-09-27
Code: https://github.com/anthropics/claude
Terminology
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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