Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ro-witthawin/TEST2ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ro-witthawin/TEST2ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ro-witthawin/TEST2ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62556e06ab32b8a6850e3fb45331589ed879a26dd0891faf7e02dfbebe6839b6
- Size of remote file:
- 194 kB
- SHA256:
- 313b7b0734b91c61857291293fb5ca940b7bd58d2b5156f1759f27d8190cf956
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