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Matching papers

Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents

292 upvotes · 30 JUL 2026 · Hanzhang Zhou, Panrong Tong, Xu Zhang et al.

This paper introduces Qwen-UI-Agent, a type of artificial intelligence system that can perform tasks on various devices, such as smartphones and computers, and improve its abilities on its own. Practitioners might care about this research because it aims to create more practical and autonomous AI systems that can be used in real-world scenarios.

GUI agentsreal-world centric AIcontinual learningmobile runtimeonline reinforcement learningdata flywheel

MAI-Gym: An Open All-in-One Platform for GUI Agent Evaluation and RL Training across Mobile and Computer Environments

154 upvotes · 14 OCT 2026 · Panrong Tong, Quyu Kong, Pengxiang Li et al.

This paper introduces MAI-Gym, a platform for training and evaluating GUI agents in various environments, allowing for scalable reinforcement learning and enabling the creation of diverse and realistic tasks. Practitioners can use MAI-Gym to train agents that can perform well in both simulated and real-world environments.

GUI agentsreinforcement learningscalable environmentsmobile applicationscomputer vision