Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use davidrd123/ppo-LunarLander-v2_try_9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use davidrd123/ppo-LunarLander-v2_try_9 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="davidrd123/ppo-LunarLander-v2_try_9", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download replay.mp4 from davidrd123/ppo-LunarLander-v2_try_9: direct link, hf CLI and curl.
- Browser
- Download file 126 kB
-
https://huggingface.co/davidrd123/ppo-LunarLander-v2_try_9/resolve/main/replay.mp4
- Command line
-
hf download hf://davidrd123/ppo-LunarLander-v2_try_9/replay.mp4
-
curl -L -o replay.mp4 https://huggingface.co/davidrd123/ppo-LunarLander-v2_try_9/resolve/main/replay.mp4
126 kB
- Xet hash:
- c95c2c6a4543a158051bbb289d4cb55cd3da3ff33bb27f70f1018bc9a2f7d387
- Size of remote file:
- 126 kB
- SHA256:
- 636dfd665456128992e65cf7500f8f9f966e7815a63a048e707b25641b8f928e
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