Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use InMDev/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use InMDev/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="InMDev/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bae2a486b57c11b532b797e330499e2a4e832cf1a70461086d8b01732e4ae172
- Size of remote file:
- 2.66 kB
- SHA256:
- 08f1f690f1d4557499244ea3c64be46e4355427bd0273b023f770767f16f1be6
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