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 bipedalV1.zip from coyotespike/lunarlanderV2: direct link, hf CLI and curl.
- Browser
- Download file 175 kB
-
https://huggingface.co/coyotespike/lunarlanderV2/resolve/main/bipedalV1.zip
- Command line
-
hf download hf://coyotespike/lunarlanderV2/bipedalV1.zip
-
curl -L -o bipedalV1.zip https://huggingface.co/coyotespike/lunarlanderV2/resolve/main/bipedalV1.zip
175 kB
- Xet hash:
- 63cda933b68571ef115513300f13a329779fea5f7a7bebf01c07d9b28beb4b4f
- Size of remote file:
- 175 kB
- SHA256:
- 0581e7d367f9601c53f64927bf321a0add7a85423fab22b7aca7f00e4f9264e2
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