Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use TrisLee2k4/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use TrisLee2k4/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="TrisLee2k4/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdd67469dcabe3f4224759283fbf2b01e7d06398e1d21ea407b4c16e21241f9b
- Size of remote file:
- 3.47 kB
- SHA256:
- bfd0c8114468d367efde5dab876c284f8b29a68df1ae7a01a0403b15d31dec24
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