Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Sakura5201/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Sakura5201/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Sakura5201/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22925b628e732429e5bdd8293ee883c61543b2889ad3068a48b510bcac7d2c2f
- Size of remote file:
- 2.64 kB
- SHA256:
- edbe5adf67e5e1225e2eefbefe952b3e5650612c0b2cb5b6267f373f1a46c4cc
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