Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Cyber-Machine/LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Cyber-Machine/LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Cyber-Machine/LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c777987066094e14462cedee210c0e1bb7907220f1d37477cf94056a53725a8
- Size of remote file:
- 147 kB
- SHA256:
- fbf134e2024838535c32a66362d6c215c6704cbbf4fbd945bc557c20b14d6602
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