Reinforcement Learning
stable-baselines3
PandaPushDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Mriganka1999/PandaPushDense-v3usingSAC-PandaPushDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Mriganka1999/PandaPushDense-v3usingSAC-PandaPushDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Mriganka1999/PandaPushDense-v3usingSAC-PandaPushDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from Mriganka1999/PandaPushDense-v3usingSAC-PandaPushDense-v3: direct link, hf CLI and curl.
- Browser
- Download file 3.21 kB
-
https://huggingface.co/Mriganka1999/PandaPushDense-v3usingSAC-PandaPushDense-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://Mriganka1999/PandaPushDense-v3usingSAC-PandaPushDense-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/Mriganka1999/PandaPushDense-v3usingSAC-PandaPushDense-v3/resolve/main/vec_normalize.pkl
3.21 kB
- Xet hash:
- 2a68063564ab1f3a8a03deec53d743e6c5f4174bd0d220b840ff256c12450690
- Size of remote file:
- 3.21 kB
- SHA256:
- 412aeff104c3aeadd3ff18dbfd8d44cce8458c92895dc7b433bc8f993795571c
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