Summary of Agent-e: From Autonomous Web Navigation to Foundational Design Principles in Agentic Systems, by Tamer Abuelsaad and Deepak Akkil and Prasenjit Dey and Ashish Jagmohan and Aditya Vempaty and Ravi Kokku
Agent-E: From Autonomous Web Navigation to Foundational Design Principles in Agentic Systems
by Tamer Abuelsaad, Deepak Akkil, Prasenjit Dey, Ashish Jagmohan, Aditya Vempaty, Ravi Kokku
First submitted to arxiv on: 17 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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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 The paper introduces Agent-E, a novel web agent that outperforms state-of-the-art text and multi-modal web agents on the WebVoyager benchmark dataset. The agent’s hierarchical architecture, flexible DOM distillation and denoising method, and concept of change observation enable it to achieve accurate performance. The authors evaluate Agent-E’s capabilities and identify design principles for developing agentic systems, including the use of domain-specific primitive skills, environmental observation distillation, and hierarchical architecture. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper creates a new type of web agent called Agent-E that is better than others at doing tasks on websites. This is because it has some special features like a special way of looking at website code, getting rid of noise, and understanding when things change. The authors tested this agent and found it works well. They also shared what they learned from making Agent-E, which can help others build better web agents. |
Keywords
» Artificial intelligence » Distillation » Multi modal
