Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use arkadyark/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use arkadyark/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="arkadyark/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from arkadyark/a2c-PandaReachDense-v2: direct link, hf CLI and curl.
- Browser
- Download file 12.9 kB
-
https://huggingface.co/arkadyark/a2c-PandaReachDense-v2/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://arkadyark/a2c-PandaReachDense-v2/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/arkadyark/a2c-PandaReachDense-v2/resolve/main/vec_normalize.pkl
12.9 kB
- Xet hash:
- 4e4a7ae62e3ea579c13ff351b6d376b100f3bcadd9e00139073f5d9e8e88e397
- Size of remote file:
- 12.9 kB
- SHA256:
- 8d159508c8e65b5f9947cf0543472a0445f62356d8ee9aee56fe2768acd347b1
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