LunarLander-v2 deep-reinforcement-learning reinforcement-learning stable-baselines3

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 your code

from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
from stable_baselines3.ppo import MlpPolicy

model = PPO(
    policy="MlpPolicy",
    env=env,
    n_steps=1024,
    batch_size=64,
    n_epochs=4,
    gamma=0.9999,
    gae_lambda=0.98,
    ent_coef=0.01,
    verbose=1,
)

model.learn(total_timesteps=1000000)
model_name = "ppo-LunarLander-v2"
model.save(model_name)
...