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:
- 7317937907d9316bb5edf127a9da992e2d49b92327b2dc2178b89ffa7f444b29
- Size of remote file:
- 144 kB
- SHA256:
- 33078ce7ecf2726fa3df6e862dd88c7746f42691c321e2bae0a2c11cd56eb3d8
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