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README.md

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<div align="center">
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![AgentLab Banner](https://github.com/user-attachments/assets/a23b3cd8-b5c4-4918-817b-654ae6468cb4)
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[![pypi](https://badge.fury.io/py/agentlab.svg)](https://pypi.org/project/agentlab/)
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[🤖 Build Your Agent](#-implement-a-new-agent) &nbsp;|&nbsp;
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[↻ Reproducibility](#-reproducibility)
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<img src="https://github.com/user-attachments/assets/47a7c425-9763-46e5-be54-adac363be850" alt="agentlab-diagram" width="700"/>
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Demo solving tasks:
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https://github.com/ServiceNow/BrowserGym/assets/26232819/e0bfc788-cc8e-44f1-b8c3-0d1114108b85
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</div>
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version and commit hash
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* The `Study` class allows automatic upload of your results to
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[`reproducibility_journal.csv`](reproducibility_journal.csv). This makes it easier to populate a
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large amount of reference points.
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large amount of reference points. For this feature, you need to `git clone` the repository and install via `pip install -e .`.
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* **Reproduced results in the leaderboard**. For agents that are repdocudibile, we encourage users
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to try to reproduce the results and upload them to the leaderboard. There is a special column
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containing information about all reproduced results of an agent on a benchmark.

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