Added TimeWarp and a training data saving class for collecting TimeWarp data #330
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amanjaiswal73892 merged 4 commits intoServiceNow:mainfrom Mar 17, 2026
Merged
Added TimeWarp and a training data saving class for collecting TimeWarp data #330amanjaiswal73892 merged 4 commits intoServiceNow:mainfrom
amanjaiswal73892 merged 4 commits intoServiceNow:mainfrom
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| elif task_name.startswith("weblinx"): | ||
| import weblinx_browsergym | ||
| elif task_name.startswith("timewarp"): | ||
| import browsergym.timewarp |
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It would be great if you can update the readme table to include timewarp.
| """ | ||
| GenericAgent with training data saving functionality. | ||
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| This module extends GenericAgent to save training data (system prompt, user prompt, and agent output) |
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Thank you for adding a new agent to AgentLab. I would keep this contribution as a separate PR from the Timewarp benchmark. It looks like we can extract step-wise (sys_prompt, user_prompt, and agent_output) from the saved traces using ExpResult. Feel free to write a utility function using that if needed. Currently, this change modifies loop.py (beyond adding timewarp), which we would prefer to avoid if possible.
amanjaiswal73892
requested changes
Mar 16, 2026
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Thanks again @amanjaiswal73892. Reverted to the original loop.py and updated the readme. Please lmk if there's anything else that I need to do on my end. |
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Adding TimeWarp so that AgentLab can be used with BrowserGym
The training data saving class is needed to use TimeTraj, which does knowledge distillation on data generated by another agent