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Atharva1232/
PPO-LunarLander-v3

Name: PPO-LunarLander-v3
Availability: InStock

stable-baselines3

LunarLander-v3

deep-reinforcement-learning

reinforcement-learning

model-index

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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)

TODO: Add your code

python

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

checkpoint = load_from_hub(
    repo_id="Atharva1232/PPO-LunarLander-v3",
    filename="ppo-LunarLander-v3.zip",
)

model = PPO.load(checkpoint)

env = gym.make("LunarLander-v3", render_mode="human")

obs, info = env.reset()

while True:
    action, _ = model.predict(obs, deterministic=True)
    obs, reward, terminated, truncated, info = env.step(action)

    if terminated or truncated:
        obs, info = env.reset()