Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sartajbhuvaji/DeepReinforcementLearningCourse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sartajbhuvaji/DeepReinforcementLearningCourse with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sartajbhuvaji/DeepReinforcementLearningCourse", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download Lander_1mSteps/_stable_baselines3_version from sartajbhuvaji/DeepReinforcementLearningCourse: direct link, hf CLI and curl.
- Browser
- Download file 5 Bytes
-
https://huggingface.co/sartajbhuvaji/DeepReinforcementLearningCourse/resolve/main/Lander_1mSteps/_stable_baselines3_version
- Command line
-
hf download hf://sartajbhuvaji/DeepReinforcementLearningCourse/Lander_1mSteps/_stable_baselines3_version
-
curl -L -o _stable_baselines3_version https://huggingface.co/sartajbhuvaji/DeepReinforcementLearningCourse/resolve/main/Lander_1mSteps/_stable_baselines3_version
5 Bytes
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