subhashmothukuru/ppo-LunarLander-v3

PPO Agent playing LunarLander-v3

This is a trained model of a PPO agent playing LunarLander-v3 using the stable-baselines3 library.

Usage (with Stable-baselines3)

import gymnasium as gym from stable_baselines3 import PPO from huggingface_sb3 import load_from_hub

Load trained model from the Hub

checkpoint = load_from_hub( repo_id="subhashmothukuru/ppo-LunarLander-v3", filename="ppo-LunarLander-v3.zip" ) model = PPO.load(checkpoint)

Evaluate the loaded model

env = gym.make("LunarLander-v3") obs, _ = env.reset() for _ in range(1000): action, _ = model.predict(obs, deterministic=True) obs, reward, terminated, truncated, info = env.step(action) if terminated or truncated: obs, _ = env.reset()

from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub

...