Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Huggbottle/DeepRL_a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Huggbottle/DeepRL_a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Huggbottle/DeepRL_a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from Huggbottle/DeepRL_a2c-PandaReachDense-v3: direct link, hf CLI and curl.
- Browser
- Download file 2.64 kB
-
https://huggingface.co/Huggbottle/DeepRL_a2c-PandaReachDense-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://Huggbottle/DeepRL_a2c-PandaReachDense-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/Huggbottle/DeepRL_a2c-PandaReachDense-v3/resolve/main/vec_normalize.pkl
2.64 kB
- Xet hash:
- f38973503e69233b6ed19c6ecbd9bb3fe005f725883b79dea3ef6d91a3009b6d
- Size of remote file:
- 2.64 kB
- SHA256:
- e9ec23165edee11c8779f5183537c4e7970f6e013a8de125807971d0ce2b09ad
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