Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use aadickk/Rl6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use aadickk/Rl6 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="aadickk/Rl6", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df175b017c79032f1e9cf051e517139f6084d38594a72ac44c3d028a0d4df963
- Size of remote file:
- 2.64 kB
- SHA256:
- 4cab850ef21a55d4ec39c7d4090a3deb8d1adf366d15ee016bb01badeda6aeab
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