One Rollout Is All You Get: Fully Test-Time Adaptation for GUI Agents
cs.LG
Submitted: 2026-09-28
Updated: 2026-09-28
Terminology
Sources
- Qwen3-VL Technical Report
- AgentHER: Hindsight Experience Replay for LLM Agent Trajectory Relabeling
- KTO: Model Alignment as Prospect Theoretic Optimization
- Generalization in Online Reinforcement Learning for Mobile Agents
- EchoTrail-GUI: Building Actionable Memory for GUI Agents via Critic-Guided Self-Exploration
- Just-In-Time Reinforcement Learning: Continual Learning in LLM Agents Without Gradient Updates
- MagicGUI-RMS: A Multi-Agent Reward Model System for Self-Evolving GUI Agents via Automated Feedback Reflux
- UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience
- ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data
- Darwinian Memory: A Training-Free Self-Regulating Memory System for GUI Agent Evolution
- Autonomous Evaluation and Refinement of Digital Agents
- UI-TARS: Pioneering Automated GUI Interaction with Native Agents
- Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
- MAGNET: Towards Adaptive GUI Agents with Memory-Driven Knowledge Evolution
- UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
- Mobile-Agent-E: Self-Evolving Mobile Assistant for Complex Tasks
- Agent Workflow Memory
- UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents
- Contextual Agentic Memory is a Memo, Not True Memory
- Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
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