Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use NeelK94/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use NeelK94/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="NeelK94/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download NeelsModel.zip from NeelK94/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 147 kB
-
https://huggingface.co/NeelK94/ppo-LunarLander-v2/resolve/main/NeelsModel.zip
- Command line
-
hf download hf://NeelK94/ppo-LunarLander-v2/NeelsModel.zip
-
curl -L -o NeelsModel.zip https://huggingface.co/NeelK94/ppo-LunarLander-v2/resolve/main/NeelsModel.zip
147 kB
- Xet hash:
- e7b117581f673bf0ae023940ccf910bdda72755a5ed30900797df09e4450278e
- Size of remote file:
- 147 kB
- SHA256:
- bff00a102b54544e43d64d68a007ef185f7584f855b16563df228fa4a574ba5c
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