Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Misha24-10/TEST2ppo-LunarLander-v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Misha24-10/TEST2ppo-LunarLander-v7 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Misha24-10/TEST2ppo-LunarLander-v7", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7998e3f0309e96cc592912708a93b6bbaa73001283611b0a959b826cf2aa0dc3
- Size of remote file:
- 215 kB
- SHA256:
- 7dc8866ea195f9963ec215c5351182c011130d94779c6ffbdcbc427f311286f6
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