Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ramsi-k/ppo2-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ramsi-k/ppo2-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ramsi-k/ppo2-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad0b8248adb310cc301b146aef71ea895e8d4b49463e07c7b53434e05cb6a17a
- Size of remote file:
- 150 kB
- SHA256:
- 0061405bc7651e298b561e4e16d635d07e228111937935b4e8cd91cfe233a104
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