Wooooohhoooo value: 263.21 +/- 18.25**

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)

This is the standard PPO model 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)

Train it for 1,000,000 timesteps

model.learn(total_timesteps=1000000)

Save the model

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

from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub

...