Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Odegua/td3-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Odegua/td3-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Odegua/td3-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from Odegua/td3-PandaReachDense-v3: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/Odegua/td3-PandaReachDense-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://Odegua/td3-PandaReachDense-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/Odegua/td3-PandaReachDense-v3/resolve/main/vec_normalize.pkl
3.64 kB
- Xet hash:
- 480a421e80c6501dbffc8d99e5536515d338792da4b1a2ca29bd30b5be2b69b0
- Size of remote file:
- 3.64 kB
- SHA256:
- 74a2bd81d947373c1cd21b091be5366daf624893ea959751bd5ec69686790f14
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