ppo-LunarLander-v2_hello_RL

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)

TODO: Add to your code

import gymnasium as gym

from stable_baselines3 import PPO
from huggingface_sb3 import load_from_hub

checkpoint_model = load_from_hub(
    repo_id="Creador270/ppo-LunarLander-v2_hello_RL",
    filename="ppo-LunarLander-v2_hello_RL_2.zip",

model = PPO.load(checkpoint_model) #The model you will be using

env = gym.make("LunarLander-v2")

observation, info = env.reset()

#It must be deterministic because, in the action space, we can only choose between which motor must be activated
action, _states = model.predict(observation, deterministic=True)
)