Autonomous Continual Learning for Environment Adaptation of Computer-Use Agents
arXiv:2602.10356v2 Announce Type: replace
Abstract: Real-world digital environments are highly diverse and dynamic. These characteristics cause agents to frequently encounter unseen environments and distribution shifts, making continual learning in su…