Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use MakiPan/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use MakiPan/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="MakiPan/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9da1d39ce6639d9e5c71f29f94d0873a356bb031bb7eb4406a358aaf7a0d153f
- Size of remote file:
- 108 kB
- SHA256:
- d7e1b7707439ef609236ec2e15453de0de18128ca19f2a280f1aaaa8bec6fc98
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