Summary of Agent S: An Open Agentic Framework That Uses Computers Like a Human, by Saaket Agashe et al.
Agent S: An Open Agentic Framework that Uses Computers Like a Human
by Saaket Agashe, Jiuzhou Han, Shuyu Gan, Jiachen Yang, Ang Li, Xin Eric Wang
First submitted to arxiv on: 10 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel open agentic framework, Agent S, is proposed to revolutionize human-computer interaction by automating complex tasks through a Graphical User Interface (GUI). The framework addresses three key challenges: acquiring domain-specific knowledge, planning over long task horizons, and handling dynamic interfaces. Agent S employs experience-augmented hierarchical planning, which learns from external knowledge search and internal experience retrieval at multiple levels, facilitating efficient task planning and subtask execution. Additionally, it uses an Agent-Computer Interface (ACI) to elicit the reasoning and control capabilities of GUI agents based on Multimodal Large Language Models (MLLMs). The framework outperforms the baseline by 9.37% on success rate and achieves a new state-of-the-art on the OSWorld benchmark. Comprehensive analysis highlights the effectiveness of individual components, providing insights for future improvements. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Agent S is an innovative way to help computers understand what we want them to do. Right now, it’s hard for us to tell computers exactly how to complete tasks that require many steps. Agent S makes it easier by using a special kind of AI called Multimodal Large Language Models (MLLMs). This framework learns from experience and can plan out complex tasks in advance. It even has its own way of talking to the computer, which helps it understand what we want it to do. |
