Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Mtc2/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Mtc2/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Mtc2/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fe59838bcf28e2f4afffe2f3d3670010fa7721e5fdd5b00538ddc5f08ce1a83
- Size of remote file:
- 107 kB
- SHA256:
- c979fdf2630c7d0818f4d2823e8d6187eea194c31591336aa141ac81a91f09b2
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