SeekJudge: A Practical Reward Framework for Reinforcement Learning in Computer-Use Agents
DGX agentarXiv:2607.23263v1 Announce Type: new Abstract: Deciding whether a trajectory actually fulfills its instruction governs how we measure computer-use agents on long-horizon graphical-user-interface task