Reinforcement Learning
stable-baselines3
TensorBoard
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use aadarshram/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use aadarshram/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="aadarshram/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download ppo-LunarLander-v2.zip from aadarshram/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 148 kB
-
https://huggingface.co/aadarshram/ppo-LunarLander-v2/resolve/main/ppo-LunarLander-v2.zip
- Command line
-
hf download hf://aadarshram/ppo-LunarLander-v2/ppo-LunarLander-v2.zip
-
curl -L -o ppo-LunarLander-v2.zip https://huggingface.co/aadarshram/ppo-LunarLander-v2/resolve/main/ppo-LunarLander-v2.zip
148 kB
- Xet hash:
- 146af36e8750e5fb94026e9bfe01fbfe49c2f609615850468ea3765c3b9eb80e
- Size of remote file:
- 148 kB
- SHA256:
- 4df633c283f071416a07cfc712fff9b8840e19b083404ced78493aaa6c3d40fb
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