Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Dotanoob/unit-1-rl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Dotanoob/unit-1-rl with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Dotanoob/unit-1-rl", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download ppo-LunarLander-v2.zip from Dotanoob/unit-1-rl: direct link, hf CLI and curl.
- Browser
- Download file 148 kB
-
https://huggingface.co/Dotanoob/unit-1-rl/resolve/main/ppo-LunarLander-v2.zip
- Command line
-
hf download hf://Dotanoob/unit-1-rl/ppo-LunarLander-v2.zip
-
curl -L -o ppo-LunarLander-v2.zip https://huggingface.co/Dotanoob/unit-1-rl/resolve/main/ppo-LunarLander-v2.zip
148 kB
- Xet hash:
- eb3e73cf813d2be8567819f015ae002fecb760f39187dc2351019684754f8c7f
- Size of remote file:
- 148 kB
- SHA256:
- f05eb73de8fdf4fec741f75de156ebd5ed06698abc0fe933c32239bbd9a59cac
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