Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use dhiva100/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use dhiva100/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="dhiva100/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b13a0560abefadd4a85de58fb40887fce824686e21be0c584eda2fd782eb589b
- Size of remote file:
- 2.65 kB
- SHA256:
- e1e4961401af1df61a0b2162603545e6fda5d1007418329861ce528daab38ce8
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