Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ruzarx/LunarLander with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ruzarx/LunarLander with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ruzarx/LunarLander", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Commit History
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15M_iterations_64_batch
37b0a30
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10M_iterations_64_batch
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5M_iterations_128_batch
5bb3b33 -
3M_iterations_128_batch
9dc0811 -
3M_iterations
b1c8c84
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Test_from_local
a30dd5d
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Batch 32 300k timesteps
63e192f -
Batch 32 model
9339538 -
Init model commit
dfa5c07 -
initial commit
99c5775