Reinforcement Learning
stable-baselines3
TensorBoard
LunarLander-v2
ppo
deep-reinforcement-learning
custom-implementation
deep-rl-course
Eval Results (legacy)
Instructions to use LATlag/ppo-LunarLander-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use LATlag/ppo-LunarLander-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="LATlag/ppo-LunarLander-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 753b6004da6c12d8fd016f98ffb80192ee16266e8415ca2692975c1b88862409
- Size of remote file:
- 43.3 kB
- SHA256:
- 69c3a683ea0eb8752d41683d35764e5371c4646666a78c872344732b2b80b36e
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