Reinforcement Learning
stable-baselines3
PandaPickAndPlace-v1
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/tqc-PandaPickAndPlace-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/tqc-PandaPickAndPlace-v1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/tqc-PandaPickAndPlace-v1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fa60e21919ff65ad7e01e4541e97212b3656e0fa52696f8ea79fb2e037f800d
- Size of remote file:
- 750 kB
- SHA256:
- 368354004dc305b664d518c9c812f4dabcdadd3c151dd130f83c4d1af04749b4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.