The authors developed MAI-Gym, a platform designed to address two key challenges in GUI agent RL: costly, inconsistent environments and scarcity of realistic training tasks.
Unified platform enables GUI agent training across mobile and computer environments
MAI-Gym provides scalable infrastructure for evaluation, data collection, and online reinforcement learning, achieving state-of-the-art performance for open GUI agents under 10 billion parameters.
Chinese Tech
Panrong Tong · Quyu Kong · Pengxiang Li · Tianyu Xia · Hanzhang Zhou · Lei Wang · +9 more
Alibaba Group
Research Digest··3 min read
The authors introduce MAI-Gym, an open-source platform that unifies GUI agent evaluation, data collection, and reinforcement learning (RL) training across mobile, computer, and web environments.
Why this paper
From Alibaba Group
In one line
MAI-Gym unifies GUI agent evaluation and RL training across mobile and computer environments, achieving state-of-the-art performance with a 9B model.
What we could check
- ·No code link found
- ·No weights link found
- ·No dataset link found
- ✓Compute or model size stated (params 9B)
- ·No stated limitations found
- ✓Reports numbers on named benchmarks (3 benchmarks)
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