Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use gnieto/DRL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use gnieto/DRL with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="gnieto/DRL", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download ppo-LunarLander-v2.zip from gnieto/DRL: direct link, hf CLI and curl.
- Browser
- Download file 147 kB
-
https://huggingface.co/gnieto/DRL/resolve/7f253ff138c454f345cf4edb44634b2d803a2ffb/ppo-LunarLander-v2.zip
- Command line
-
hf download hf://gnieto/DRL@7f253ff138c454f345cf4edb44634b2d803a2ffb/ppo-LunarLander-v2.zip
-
curl -L -o ppo-LunarLander-v2.zip https://huggingface.co/gnieto/DRL/resolve/7f253ff138c454f345cf4edb44634b2d803a2ffb/ppo-LunarLander-v2.zip
147 kB
- Xet hash:
- d96071d0f2bee159583084640dbf1c75e771aeefa924bdd4798562878bdadc57
- Size of remote file:
- 147 kB
- SHA256:
- a4e16bcd6fc555046907ca7638f3ea268d6f4f43e8d3721838421d0ad03a675e
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