Reinforcement Learning
stable-baselines3
BipedalWalker-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use coyotespike/lunarlanderV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use coyotespike/lunarlanderV2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="coyotespike/lunarlanderV2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download lunarLanderSimple2Thousand.zip from coyotespike/lunarlanderV2: direct link, hf CLI and curl.
- Browser
- Download file 146 kB
-
https://huggingface.co/coyotespike/lunarlanderV2/resolve/main/lunarLanderSimple2Thousand.zip
- Command line
-
hf download hf://coyotespike/lunarlanderV2/lunarLanderSimple2Thousand.zip
-
curl -L -o lunarLanderSimple2Thousand.zip https://huggingface.co/coyotespike/lunarlanderV2/resolve/main/lunarLanderSimple2Thousand.zip
146 kB
- Xet hash:
- 927d1c54eeabc06d428cf7669ae5d6166e86868d056452310471ab3cc9fa9890
- Size of remote file:
- 146 kB
- SHA256:
- e11fffb9c155e15e3a8130b88b11aa3b41f7fcadce9bbf296b7b66c640f8968b
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