Huggbottle/DeepRLCourse_ppo_LunarLander_v2

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)

from stable_baselines3 import PPO
from huggingface_sb3 import load_from_hub

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

model = PPO(
    policy='MlpPolicy',
    env=env,
    n_steps=1024,
    batch_size=64,
    n_epochs=4,
    gamma=0.999,
    gae_lambda=0.98,
    ent_coef=0.01,
    verbose=1
)

model.learn(total_timesteps=1_000_000)

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