2 papers
cs.AI2026
Adaptive-Group Process Rewards for GUI Agents
Zirui Shang, Yang Liu, Xin Shu +3
Training graphical user interface (GUI) agents with reinforcement learning suffers from sparse outcome rewards, leading to inefficient learning. Process rewards offer a promising d…
cs.AI2026
Interactive Reward Agent: GUI Task Evaluation via Environment-State Verification
Chenrui Shi, Yuwei Wu, Yang Liu +5
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…