Interactive Reward Agent: GUI Task Evaluation via Environment-State Verification
Graphical user interface task evaluation aims to determine whether a GUI agent has successfully completed a user instruction. Automated GUI task evaluation has received increasing attention because the evaluation results can serve as reward signals for both test-time scaling and post-training. However, reliable GUI task evaluation remains challenging because the judgments often require access to environment states, such as system configurations, file data, and application settings, beyond the sc
Record details
Published: 28 July 2026
Source: arXiv cs.AI
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 29 July 2026
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ethics.ai (28 July 2026), “Interactive Reward Agent: GUI Task Evaluation via Environment-State Verification,” evidence record 14428, https://ethics.ai/record/14428 (originally published by arXiv cs.AI).
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