OSWorld

Papers using OSWorld (8)

RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System2026STEP: Success-Rate-Aware Trajectory-Efficient Policy Optimization2025ZeroGUI: Automating Online GUI Learning at Zero Human Cost2025ComputerRL: Scaling End-to-End Online Reinforcement Learning for Computer Use Agents2025UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning2025Efficient Multi-turn RL for GUI Agents via Decoupled Training and Adaptive Data Curation2025OS-Oracle: A Comprehensive Framework for Cross-Platform GUI Critic Models2025Mobile-Agent-v3: Fundamental Agents for GUI Automation2025