Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Irisaka/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Irisaka/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Irisaka/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4909c7dc86a3b7f264122115c60d38ea9ff6bde830cf05f40fce091d58d013e7
- Size of remote file:
- 2.66 kB
- SHA256:
- 38cfed119371bdbab3afd125bc75ed1c8f9551bd122e8811dfe2c020cb951f71
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