MAI-Gym: An Open All-in-One Platform for GUI Agent Evaluation and RL Training across Mobile and Computer Environments
arXiv cs.AIen
arXiv cs.AI
AI Global WirearXiv:2610.20939v1 Announce Type: new Abstract: Online reinforcement learning (RL) with verifiable rewards has driven rapid progress in mathematics, coding, and tool use, but scaling this success to GUI agents remains challenging due to the high cost of interactive environments and the scarcity of realistic training tasks. We introduce MAI-Gym, an open all-in-one platform that unifies GUI agent evaluation, data collection, and online RL training across mobile, computer, and web environments. Through a shared rollout pipeline, MAI-Gym ensures consistent agent behavior across evaluation and training, supports ten established benchmarks, and scales to 20,000 parallel environment instances. Beyo
This is a short summary published by AI Global Wire. The full article is owned and hosted by arXiv cs.AI — open it there to read it in full.
Read the full story at arXiv cs.AI- Verktyg
- Forskning
- Agenter
- Företag
Related AI news
- Nvidia launches open Nemotron model for enterprise AI agentsTech in Asia · October 16, 2026
- Europe’s AI fintech market mapped: 94 startups automating the business of moneySifted · October 16, 2026
- New York City pension fund asks Anthropic to delay IPOEconomic Times Tech · October 16, 2026
- Suuryritykset hurahtivat uuteen ilmiöön – Kansainvälisen jätin johtaja kertoo, millaiset työntekijät pärjäävät jatkossaTivi · October 16, 2026
- Hong Kong vies for role in robotics boom with launch of embodied AI hubSCMP Tech · October 16, 2026
- IneqAgent: Agentic Inequality Proving in Lean with Symbolic ComputationarXiv cs.AI · October 16, 2026