Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use KraTUZen/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use KraTUZen/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="KraTUZen/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 018eca339682b90c7005568fc455b48287fe6c16b7a2003115623ff86a995353
- Size of remote file:
- 2.64 kB
- SHA256:
- 676117281a35d3fd6ecd479125a585fe0177cc2d073a03182b62748546349c2d
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