cotomi Act agent learns to automate tasks by watching user behavior

Researchers have developed cotomi Act, a browser agent designed to automate work by learning from user actions. The system achieves high task execution accuracy on the WebArena benchmark, surpassing a human baseline. It also incorporates a knowledge pipeline that abstracts user browsing behavior into editable artifacts like task boards and wikis, improving task success as knowledge accumulates. AI

IMPACT This agent could significantly streamline workflows by learning and automating repetitive tasks directly within a browser environment.

RANK_REASON This is a research paper detailing a new AI agent and its performance on a benchmark. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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• WebArena

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