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WebArena: A Realistic Web Environment for Building Autonomous Agents

WebArena: A Realistic Web Environment for Building Autonomous Agents explores web and computer-use agents.

Shuyan Zhou12 min readResearch
FOUNDATIONALAI AgentsAdvanced

01

Abstract

Web and computer-use agents

02

Introduction

Foundational work on LLM-based agents and Web and computer-use agents.

03

Problem

Addresses how language models can extend beyond single-turn generation through Web and computer-use agents.

04

Methodology

The paper operationalizes Web and computer-use agents through a structured agent mechanism.

Figure notes

Visual evidence

Figure 1
Figure 1

05

Architecture

The system connects an LLM with state, control, tools, memory, environments, interfaces, or other agents.

06

Dataset

Uses task-specific datasets, environments, benchmarks, or interaction traces appropriate to the research question.

07

Training

Uses the training or inference adaptation documented by the primary source; undisclosed details are not inferred.

08

Experiments

Evaluates the proposed mechanism against relevant baselines in the target setting.

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Baselines

Compares against the underlying model, simpler control strategies, or prior agent mechanisms.

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Results

Reports evidence for the proposed contribution within its stated benchmark or environment.

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Conclusion

Contributes a reusable pattern for building or evaluating LLM-based agents.

12

References

Primary source: https://arxiv.org/abs/2307.13854

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