Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Victarry/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Victarry/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Victarry/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf87f1e39123564a2b9ef83634538f79537bebd202a3b16ca72c4b25a76e75a1
- Size of remote file:
- 108 kB
- SHA256:
- 418dfa5b0c0602d5bdb4da2b580661bd84d6b76f32815a73df847be6c4f72348
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