HybridCUA: Learning to Orchestrate GUI and CLI for Computer-Use Agents
Computer use agents (CUAs) have demonstrated strong capabilities in completing digital tasks. However, existing CUAs either rely solely on graphical user interface (GUI) interactions, which are often inefficient and error prone, or augment GUI interactions with application specific APIs or tools, which require substantial engineering effort and are difficult to scale across app
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Computer use agents (CUAs) have demonstrated strong capabilities in completing digital tasks. However, existing CUAs either rely solely on graphical user interface (GUI) interactions, which are often inefficient and error prone, or augment GUI interactions with application specific APIs or tools, which require substantial engineering effort and are difficult to scale across app
This work is crucial for ML engineers developing autonomous agents, as it addresses a key challenge in creating more robust and efficient computer-use agents. By integrating CLI with GUI, it opens avenues for agents to perform complex tasks more reliably and with less reliance on fragile GUI interactions, enhancing their practical applicability.