<p>Training and benchmarking a computer-use agent needs four things — agents, environments, traces, and a framework to evaluate and train them — and all four ship in incompatible formats today. CUA-Lite, from a UC Berkeley led team, puts them behind one action space and one data schema, and replaces OSWorld's per-task virtual machine with a plain Docker container at 0.9 GB instead of 4.1 GB.</p>
<p>The post <a href="https://www.marktechpost.com/2026/09/05/uc-berkeley-researchers-release-cua-lite-an-open-platform-unifying-sandboxes-data-evaluation-and-rl-for-computer-use-agents/">UC Berkeley Researchers Release CUA-Lite, an Open Platform Unifying Sandboxes, Data, Evaluation and RL for Computer-Use Agents</a> appeared first on <a href="https://www.marktechpost.com">MarkTechPost</a>.</p>