Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use RBadal/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use RBadal/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="RBadal/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ccb65134793b91b524213e3c0553a6893371fb930c6038a70d19ad6d60c0df7
- Size of remote file:
- 2.65 kB
- SHA256:
- e8fb43ed39ab191e5124a90460bdc4c3a8f49d8c19601c57db410ee258e96bbd
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