Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use chenoi/deepRL6-2-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use chenoi/deepRL6-2-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="chenoi/deepRL6-2-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from chenoi/deepRL6-2-PandaReachDense-v2: direct link, hf CLI and curl.
- Browser
- Download file 2.38 kB
-
https://huggingface.co/chenoi/deepRL6-2-PandaReachDense-v2/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://chenoi/deepRL6-2-PandaReachDense-v2/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/chenoi/deepRL6-2-PandaReachDense-v2/resolve/main/vec_normalize.pkl
2.38 kB
- Xet hash:
- a3c91a0941b68a9a292c05ef772b58c37cae537bb9c926ae9b38bb1f318de648
- Size of remote file:
- 2.38 kB
- SHA256:
- d1ee86c15b34a32910c5aae8db26dca75cbbe9252c76435c4485be0470545a1f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.