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robosuite env.reset_to "hack" present in run_trained_agent.py but not in train_utils.py
See original GitHub issueI’m trying to use code from run_trained_agent.py to collect some rollout statistics and it seems like this particular script uses a .reset_to() call that resets an environment to its current state. To my knowledge, this trick isn’t present in other robomimic evaluation scripts, like run_rollout() in train_utils.py.
When collecting human demonstrations on the robosuite task, was the .reset_to() trick used? I’m seeing some performance differences between the two versions of eval scripts, and I’m trying to pinpoint the issue.
Issue Analytics
- State:
- Created a year ago
- Comments:5 (2 by maintainers)
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Let me give this a try with one of the public datsets. I’ll keep you posted!
I’ll close this for now–I think it was a quirk of our own data, as I wasn’t able to reproduce it on the public dataset. If something else comes up, I’ll reopen it!