Reinforcement Learning
stable-baselines3
English
LunarLander-v2
deep-reinforcement-learning
gymnasium
Eval Results (legacy)
Instructions to use Mattizza/PPO-LunarLander-v2_v0__DeepRLCourse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Mattizza/PPO-LunarLander-v2_v0__DeepRLCourse with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Mattizza/PPO-LunarLander-v2_v0__DeepRLCourse", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d33c9ddb943c341f6fc841ceb7003e48817d3070aaaa1b950edc13a1ced93dac
- Size of remote file:
- 88.4 kB
- SHA256:
- 1e71d2a44a916386fc3621051fef98166b802fbe2c719dca0b7f412d508b125a
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