Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use 97jmlr/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use 97jmlr/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="97jmlr/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from 97jmlr/a2c-PandaReachDense-v2: direct link, hf CLI and curl.
- Browser
- Download file 2.61 kB
-
https://huggingface.co/97jmlr/a2c-PandaReachDense-v2/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://97jmlr/a2c-PandaReachDense-v2/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/97jmlr/a2c-PandaReachDense-v2/resolve/main/vec_normalize.pkl
2.61 kB
- Xet hash:
- 61462f8a0796137fc4a6071af378fa6ad94ddcad1f4117a5f2a1f090e1cba412
- Size of remote file:
- 2.61 kB
- SHA256:
- f573fa70620338dfb34065fa513c6d2403f71ec339e27d40357493645a5fc5ce
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