Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use egilron/rl_unit1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use egilron/rl_unit1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="egilron/rl_unit1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ec9492f975acf459c0b199e263835634bafe628e4ce9fd8dc8bf28ce72aa450
- Size of remote file:
- 147 kB
- SHA256:
- 99295e2180029c67d39990e0659078f881ef807f11e19c0bc47f8768be72daef
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