AgentFly: Scaling Agentic Reinforcement Learning with Unified Resource System

arXiv:2507.14897 · cs.AI · Submitted 2025-07-20 · Read on arXiv

cs.AI

Submitted: 2025-07-20

Updated: 2026-10-09

Code: https://github.com/Agent-One-Lab/AgentFly

Terminology

• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes
• Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
• Reward Function — 1× in this paper · explained in 3 episodes

Sources

• SkyRL-Agent: Efficient RL Training for Multi-turn LLM Agent
• Group-in-Group Policy Optimization for LLM Agent Training
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agents
• Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
• UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning
• GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents
• Agent Lightning: Train ANY AI Agents with Reinforcement Learning
• Qwen3.5-Omni Technical Report
• Proximal Policy Optimization Algorithms
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• HybridFlow: A Flexible and Efficient RLHF Framework
• ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
• ScienceWorld: Is your Agent Smarter than a 5th Grader?
• Training and Benchmarking Code Generation for Physics-Inspired Animations
• RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
• WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

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