Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use codewithpurav/LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use codewithpurav/LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="codewithpurav/LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7edc8c39aa9c56733dfe2e35aefa38b72b340329b205e277aff10650cae4fba4
- Size of remote file:
- 88.4 kB
- SHA256:
- 38dab71441e16fe67260a81930363d16c13886ff33bdddb4bf6cbfe7d6a3c17d
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