real-stanford/scalingup
[CoRL 2023] This repository contains data generation and training code for Scaling Up & Distilling Down
Python
Issues
- 0
- 1
The yellow square did not load in the image.
#29 opened by sunchurui - 0
After the completion of running hieerachical.actions.py, there will be an error message.
#27 opened by XiangdongHe - 9
Problems When using CACHE
#22 opened by Louis-ZhangLe - 1
- 1
Problem with using LLM cache
#24 opened by AaronChuh - 0
- 7
training stuck after the first epoch
#8 opened by yellow07200 - 1
- 2
- 3
Problems when trying generate data
#21 opened by h129344010 - 15
Real Robot Evaluation
#14 opened by wangyan-hlab - 1
- 3
- 6
16 Bit Training Experiences
#17 opened by mbreuss - 1
ImportError
#4 opened by Alpslee - 1
- 2
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- 5
evaluation on UR10
#15 opened by yellow07200 - 4
- 1
Error: No available node types can fulfill resource request {'CPU': 1.0, 'GPU': 1.0}. Add suitable node types to this cluster to resolve this issue.
#6 opened by yellow07200 - 2
Real robot inference guidance
#1 opened by YESAndy - 3
different output
#12 opened by yuanzihao - 3
[Error] When training from a checkpoint - TypeError: Can't instantiate abstract class ScalingUpAlgo with abstract method get_policy
#5 opened by wangyan-hlab - 2
[ERROR] `ReplayBuffer` is empty!
#13 opened by wangyan-hlab - 1
drawer texture difference
#9 opened by yangsizhe - 4