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 lunarLander.zip from coyotespike/lunarlanderV2: direct link, hf CLI and curl.
- Browser
- Download file 147 kB
-
https://huggingface.co/coyotespike/lunarlanderV2/resolve/main/lunarLander.zip
- Command line
-
hf download hf://coyotespike/lunarlanderV2/lunarLander.zip
-
curl -L -o lunarLander.zip https://huggingface.co/coyotespike/lunarlanderV2/resolve/main/lunarLander.zip
147 kB
- Xet hash:
- ec5f6ce69dff2ef739ff4faacd6fa4a2d0a2aabe6c503484bb551e87ea539c04
- Size of remote file:
- 147 kB
- SHA256:
- d143fb0deec99465f2e734755582c85f31eeed2625b7b1671f08a920c6855eaf
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