Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use igpaub/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use igpaub/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="igpaub/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdf38dfe1edf34f9c152b7e1dd59e6d1588682ea2409335c7c0e5b3b45464e9f
- Size of remote file:
- 2.84 kB
- SHA256:
- fb32a9c823ab2f631edcc2e456ce829a4cb3146f2cc2a692ee5fb3db89c7cced
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