Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use AndreyM/rl_course_luner_lander with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use AndreyM/rl_course_luner_lander with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="AndreyM/rl_course_luner_lander", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download ppo-LunarLander-1mil-default-params.zip from AndreyM/rl_course_luner_lander: direct link, hf CLI and curl.
- Browser
- Download file 144 kB
-
https://huggingface.co/AndreyM/rl_course_luner_lander/resolve/main/ppo-LunarLander-1mil-default-params.zip
- Command line
-
hf download hf://AndreyM/rl_course_luner_lander/ppo-LunarLander-1mil-default-params.zip
-
curl -L -o ppo-LunarLander-1mil-default-params.zip https://huggingface.co/AndreyM/rl_course_luner_lander/resolve/main/ppo-LunarLander-1mil-default-params.zip
144 kB
- Xet hash:
- 5b5ab42307e8cf5d0294503d324c7c7b1ae1ce5393b6c6d3d617e89f583663c8
- Size of remote file:
- 144 kB
- SHA256:
- 73732aed292a0909aa3de85f274f07baf607cf5590561c94b4e49bb0cb52a2a5
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