Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use alexillovsky/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use alexillovsky/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="alexillovsky/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df9b37decf0921d9ae702a971ccb1f7d139280d039df6e383aad5c0af5ddb906
- Size of remote file:
- 2.64 kB
- SHA256:
- 26b47ac103c9e1fb1225aab5f9386d9d7935ce7151646aecdaf383ca7a6d499a
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