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khoaoe/ppo-LunarLander-v3
ppo-LunarLander-v3 is a reinforcement learning model from khoaoe. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for stable-baselines3.
This is a trained model of a PPO agent playing LunarLander-v3 using the stable-baselines3 library.
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From the Hugging Face model README
This is a trained model of a PPO agent playing LunarLander-v3 using the stable-baselines3 library.
import gymnasium as gym
from stable_baselines3 import PPO
from huggingface_sb3 import load_from_hub
model_filename = load_from_hub(repo_id, 'models/ppo-LunarLander-v3/best_model.zip')
model = PPO.load(model_filename)
env = gym.make(**LunarLander-v3**, render_mode="human")
obs, info = env.reset()
done = False
while not done:
action, _states = model.predict(obs, deterministic=True)
obs, rewards, done, truncated, info = env.step(action)
env.render()
env.close()