Reinforcement Learning
stable-baselines3
LunarLander-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use AlxWo/DeepRLCourse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use AlxWo/DeepRLCourse with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="AlxWo/DeepRLCourse", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Unit0_LunarLander-v3_PPO_cpu_Baseline Agent playing LunarLander-v3
This is a trained model of a Unit0_LunarLander-v3_PPO_cpu_Baseline agent playing LunarLander-v3 using the stable-baselines3 library.
Usage (with Stable-baselines3)
TODO: Add your code
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
...
- Downloads last month
- 8
Evaluation results
- mean_reward on LunarLander-v3self-reported270.10 +/- 22.38