Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use dalvarez/PPO-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use dalvarez/PPO-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="dalvarez/PPO-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download LunarLander1.zip from dalvarez/PPO-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 144 kB
-
https://huggingface.co/dalvarez/PPO-LunarLander-v2/resolve/main/LunarLander1.zip
- Command line
-
hf download hf://dalvarez/PPO-LunarLander-v2/LunarLander1.zip
-
curl -L -o LunarLander1.zip https://huggingface.co/dalvarez/PPO-LunarLander-v2/resolve/main/LunarLander1.zip
144 kB
- Xet hash:
- 7c2357cc6b695e9df46965be24e1e05b68bdb545dfb8f10338efcb55f080f66f
- Size of remote file:
- 144 kB
- SHA256:
- eaa8da12d076dec3d3f55901e9fbb1b7c07db354ba5f815d5a84d2b81167d4d7
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