Reinforcement Learning
stable-baselines3
LunarLander-v3
deep-reinforcement-learning
LunarLander-v2
Eval Results (legacy)
Instructions to use pabloramesc/ppo-lunar-lander-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use pabloramesc/ppo-lunar-lander-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="pabloramesc/ppo-lunar-lander-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
PPO Agent playing LunarLander-v3
This is a trained model of a PPO agent playing LunarLander-v3 using the stable-baselines3 library.
This repo uses LunarLander-v3 environment, as v2 is no longer supported by gymnasium. Add LunarLander-v2 tag manually to make results available in course progess page: https://huggingface.co/spaces/ThomasSimonini/Check-my-progress-Deep-RL-Course
- Downloads last month
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Evaluation results
- mean_reward on LunarLander-v3self-reported264.89 +/- 16.70