Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ROSCOSMOS/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ROSCOSMOS/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ROSCOSMOS/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99954895331bda7eb22804cc4d29e99f8c63a06a4d38c7279249f9587047e2fe
- Size of remote file:
- 169 kB
- SHA256:
- 8060f2ce7264a4b6bab167db04a2120b2ba45d5ba6598c085027462314e38f4a
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