krishbits12/ppo-LunarLander-v3

PPO Agent playing LunarLander-v2

This is a trained model of a PPO agent playing LunarLander-v2 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 Hugging Face Hub
repo_id = "krishbits12/ppo-LunarLander-v3"
filename = "ppo-LunarLander-v3.zip"

checkpoint = load_from_hub(repo_id, filename)
model = PPO.load(checkpoint)

# Evaluate the agent locally
env = gym.make("LunarLander-v3", render_mode="human")
obs, _ = env.reset()
for _ in range(1000):
    action, _ = model.predict(obs, deterministic=True)
    obs, reward, terminated, truncated, _ = env.step(action)
    if terminated or truncated:
        obs, _ = env.reset()