Qwen-Planner-Agent: A Closed-Loop AI-for-AI Framework for Real-World Mobile Planner Agents
The paper says Qwen-Planner-Agent outperformed evaluated mobile planner systems on MobilePA-Bench.
The authors frame it as a closed-loop “AI-for-AI” system linking data generation, training, and deployment through action feedback and verification. Specialized agents help build and curate task data, while training uses supervised cold start plus online reinforcement learning. The runtime harness feeds execution evidence and failure traces back into model and tool adaptation. HF Daily Papers' note
The authors frame it as a closed-loop “AI-for-AI” system linking data generation, training, and deployment through action feedback and verification. Specialized agents help build and curate task data, while training uses supervised cold start plus online reinforcement learning. The runtime harness feeds execution evidence and failure traces back into model and tool adaptation. HF Daily Papers' note
score 5