Apple Details Online Reinforcement Learning Agent for Live iOS UI Navigation
The key shift is moving agent training from offline imitation of scripted trajectories to online learning inside real apps, which targets error recovery — the point where most SFT-trained UI agents break. Researchers and engineers building device-side automation agents can study how the planning/grounding split trades inference cost against robustness. Compared with routing every step through a frontier VLM, this points toward cheaper on-device navigation stacks.