MarkFzp / act-plus-plus

Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
https://mobile-aloha.github.io/
MIT License
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Not very good performance #8

Closed Ke-Wang1017 closed 8 months ago

Ke-Wang1017 commented 9 months ago

Hi I followed the instructions and trained the act policy for relatively long time (around 6 hours and 50k steps) and the success rate does not seem to be great. I have checked the tuning tips and plan to train for longer. However just want to know what can make the performance better? One issue i discover is that the scripted demo are mostly unsuccessful (just 30% success) and that is one potential problem, but are there other factors? I post the wandb plot below

Screenshot from 2024-01-05 15-06-30

tonyzhaozh commented 8 months ago

Hi, as you might have noticed from other issues this is a dataset generation problem. We are trying to fix it and please check out https://github.com/MarkFzp/act-plus-plus/issues/12 for updates. I am closing this issue due to duplicates.

Thanks, Tony