Reinforcement Learning
stable-baselines3
MountainCarContinuous-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use danieladejumo/ppo-mountan_car_continuous with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use danieladejumo/ppo-mountan_car_continuous with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="danieladejumo/ppo-mountan_car_continuous", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Commit ·
cda9802
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Parent(s): b33f216
Update README.md
Browse files
README.md
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@@ -31,7 +31,8 @@ from stable_baselines3 import PPO
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from huggingface_sb3 import load_from_hub
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# load and create the model
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model_path = load_from_hub("danieladejumo/ppo-mountan_car_continuous",
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model = PPO.load(model_path)
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# create Mountain Car Continuous environment and evaluate the trained agent
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from huggingface_sb3 import load_from_hub
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# load and create the model
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model_path = load_from_hub("danieladejumo/ppo-mountan_car_continuous",
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"ppo-mountan_car_continuous.zip")
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model = PPO.load(model_path)
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# create Mountain Car Continuous environment and evaluate the trained agent
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