Summary of Agentstore: Scalable Integration Of Heterogeneous Agents As Specialized Generalist Computer Assistant, by Chengyou Jia et al.
AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant
by Chengyou Jia, Minnan Luo, Zhuohang Dang, Qiushi Sun, Fangzhi Xu, Junlin Hu, Tianbao Xie, Zhiyong Wu
First submitted to arxiv on: 24 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Robotics (cs.RO)
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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 This paper proposes AgentStore, a scalable platform that integrates heterogeneous digital agents to automate complex computer tasks. The authors aim to address the limitations of existing agent methods in generalization and specialization capabilities. They introduce a novel core MetaAgent with an AgentToken strategy to efficiently manage diverse agents and utilize their specialized and generalist abilities for various tasks. Experimental results on three challenging benchmarks demonstrate that AgentStore surpasses previous systems, achieving significant improvements in both generalization and specialization. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper creates a special platform called AgentStore that helps computer tasks get done more easily. It’s like an app store for digital helpers! The problem is that current helper methods aren’t very good at learning new things or working together well. This new system lets users combine different helpers to do complex tasks, and it even adapts to changes in the operating systems it runs on. Some tests show that AgentStore does a much better job than other systems, especially for big tasks. |
Keywords
» Artificial intelligence » Generalization
