UINavBench

Headlines · 1

1. 3d
   Online dense RL trains UI agents on live iOS apps

   A paper by Peitong Duan, Khashayar Gatmiry, Jeffrey Nichols, Samy Bengio, and Emmanuel Abbe introduces an online dense reinforcement learning framework for training UI navigation agents directly on live iOS applications. It separates planning from UI grounding, combines step-level and terminal rewards through an LLM-as-a-Judge, and introduces GiGPPO alongside infrastructure for orchestrating hundreds of concurrent virtual iOS devices. The paper reports that its 8B agents outperformed SFT and terminal-only RL baselines, nearly achieved a sevenfold improvement in out-of-distribution Android tests, and surpassed Gemini-3.5-Flash while tying Gemini-3.1-Pro on real iOS apps.

   Hugging Face · Papers · 🔥 0

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