Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Behnam/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Behnam/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Behnam/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download first_model.zip from Behnam/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 144 kB
-
https://huggingface.co/Behnam/ppo-LunarLander-v2/resolve/main/first_model.zip
- Command line
-
hf download hf://Behnam/ppo-LunarLander-v2/first_model.zip
-
curl -L -o first_model.zip https://huggingface.co/Behnam/ppo-LunarLander-v2/resolve/main/first_model.zip
144 kB
- Xet hash:
- 28ecc73aa666346b20962f3150a9b04d3f05dcc67c91bdfe6bb06c8900a0726b
- Size of remote file:
- 144 kB
- SHA256:
- 892140ef6b18f8e7e2a482ec20b7d67c0d264062107394df522c39d2b45c1b5a
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