Qwen-Planner-Agent: closed-loop mobile planner with co-evolving data, training, and harness
Alibaba/Tongyi's closed-loop mobile planner system where AI-driven data generation, training, and the agent harness co-evolve together for mobile task planning. Submitted to arXiv 2026-09-24 with an associated verified benchmark repository.
Why it matters
Treats data, model training, and the agent harness as one co-evolving loop for mobile device automation rather than static training on fixed datasets.
What you could build with it
Prototype a mobile-planning loop on your own app: generate task rollouts on-device, feed successes and failures back into training, and evolve the planner harness in the same iteration cycle.
Does it hold up?
Too early to judge: benchmark repo is brand new (5 stars) and the closed-loop training recipe is heavyweight; paper claims SOTA on MobilePA-Bench but independent reproduction is pending.
Built with Qwen-Planner-Agent
- HF paper pagehuggingface · Hugging Face paper listing with discussion for the Qwen-Planner-Agent paper.
- Tongyi-MAI/MobilePA-Benchgithub · 5 ★ · Official benchmark repo accompanying the paper (5 stars, day-one code).
Learn more
First spotted on arXiv: source.
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