Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use samuraibosky/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use samuraibosky/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="samuraibosky/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d1b4df725ec49af344dcfc4b14ea8cfb44825878568382aa8cfe9b08acd87db
- Size of remote file:
- 2.65 kB
- SHA256:
- 5c1f51cb0024600cddd1939be5825ed247c7c0d83104eb233b1547226ed02a02
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