AI RESEARCH
Generalization in Online Reinforcement Learning for Mobile Agents
arXiv CS.LG
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ArXi:2603.07432v1 Announce Type: cross Graphical user interface (GUI)-based mobile agents automate digital tasks on mobile devices by interpreting natural-language instructions and interacting with the screen. While recent methods apply reinforcement learning (RL) to train vision-language-model(VLM) agents in interactive environments with a primary focus on performance, generalization remains underexplored due to the lack of standardized benchmarks and open-source RL systems. In this work, we formalize the problem as a Contextual Marko Decision Process (CMDP) and.