Reinforcement Learning
stable-baselines3
PandaReach-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use chencliu/tqc-PandaReach-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use chencliu/tqc-PandaReach-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="chencliu/tqc-PandaReach-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fd07fcd42da5a01e93e0b28a113b8fa1a96f45cb4a807041d563fa588d186da
- Size of remote file:
- 213 kB
- SHA256:
- e55336fbc4e0ced8e6d3f38e883007c2fd057f018816bc4d4494b5813cd00fef
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