Mo0nlight/Mo0nlander_v0

A2C Agent playing LunarLander-v3

This is a trained model of a A2C agent playing LunarLander-v3 using the stable-baselines3 library.

Usage (with Stable-baselines3)

TODO: Add your code

import gymnasium as gym 
from stable_baselines3 import PPO,A2C
from huggingface_sb3 import load_from_hub

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

#model = A2C("MlpPolicy", train_env, verbose=1,device='cpu')
model =A2C.load('ppo-LunarLander-v3 1M', env=env,device='cpu', tensorboard_log='./log')
model.learn(total_timesteps=10000)
...