Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sryu1/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sryu1/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sryu1/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ea13e3b30d9dd6922fd95eb2db1ba78d9ddb4ed03b4090dc1faf111de358d10
- Size of remote file:
- 147 kB
- SHA256:
- 17a0847c9b7af2b88398e320cbd55f0f399316aa9213f94c63286edb1da07301
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