Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use DanielGigliotti/PandaArm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use DanielGigliotti/PandaArm with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="DanielGigliotti/PandaArm", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21831c104e0ce3e7e26f50496be82618883b73022dbb457d2f5d93ce48815941
- Size of remote file:
- 2.64 kB
- SHA256:
- 2f64e69bd71772557e23b9fb52db3f52cf161c7ac6d26d357bfcfa438a3aff48
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