Used PPO, proximal policy optimization algorithm Agent playing LunarLander-v2
This is a trained model of a Used PPO, proximal policy optimization algorithm agent playing LunarLander-v2 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
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Evaluation results
- mean_reward on LunarLander-v2self-reported271.93 +/- 13.38
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="AkumaDachi/RL_Tutorials", filename="{MODEL FILENAME}.zip", )