Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use DarkRodry/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use DarkRodry/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="DarkRodry/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download base_tutorial_model/policy.pth from DarkRodry/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 43.3 kB
-
https://huggingface.co/DarkRodry/ppo-LunarLander-v2/resolve/main/base_tutorial_model/policy.pth
- Command line
-
hf download hf://DarkRodry/ppo-LunarLander-v2/base_tutorial_model/policy.pth
-
curl -L -o policy.pth https://huggingface.co/DarkRodry/ppo-LunarLander-v2/resolve/main/base_tutorial_model/policy.pth
43.3 kB
- Xet hash:
- a941c633cafb15f79808c03718b7e29be60ea291a2a040fc7725742150b351a4
- Size of remote file:
- 43.3 kB
- SHA256:
- 91bf96540f0ba93c4714de1f21818f6e248c7ebfdf9430acd582c0e37d98adb6
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