Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use xsa-dev/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use xsa-dev/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="xsa-dev/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84aae9dc3df84f399173a3cb799e7766a7f0054573101f26217e80428dac801c
- Size of remote file:
- 148 kB
- SHA256:
- 50459896fb461f187f04eb1ee6336de10f41f1c395ba64b27c1c3c387d0b43dc
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