Reinforcement Learning
stable-baselines3
LunarLander-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ionutmodo/ppo-LunarLander-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ionutmodo/ppo-LunarLander-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ionutmodo/ppo-LunarLander-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download replay.mp4 from ionutmodo/ppo-LunarLander-v3: direct link, hf CLI and curl.
- Browser
- Download file 156 kB
-
https://huggingface.co/ionutmodo/ppo-LunarLander-v3/resolve/main/replay.mp4
- Command line
-
hf download hf://ionutmodo/ppo-LunarLander-v3/replay.mp4
-
curl -L -o replay.mp4 https://huggingface.co/ionutmodo/ppo-LunarLander-v3/resolve/main/replay.mp4
156 kB
- Xet hash:
- 8c724f7c14025abd93553e927726e5743dea0f42555c83e80c41cbb1226fcf6c
- Size of remote file:
- 156 kB
- SHA256:
- 86fd789f4b7ad26b338db68ad98f18673e0fa83471b531eb4014abacd1025c1e
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