Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Qws-123/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Qws-123/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Qws-123/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d529dce576faf70f6ed3a28f64288abce019b85c0040ea7fb1cf85a51354aa34
- Size of remote file:
- 2.65 kB
- SHA256:
- 319a43a683c87054e78a42a4ada1fcfd111c554fbb08b039bb2bfaf814754dc6
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