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Matching papers

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

Holi-World: Building Holistic World Intelligence from Human-Ego Experience

104 upvotes · 19 OCT 2026 · Hao Li, Xiyuan Zheng, Yuanyuan Gao et al.

This paper develops a system to turn human experience into a learning resource for AI, enabling machines to better understand the world and its changes, which could improve self-driving cars, robots, and other applications that rely on human-like perception.

human-ego experienceworld representationautomated data constructionscene understandingperceptioncomputer vision