PPO with MlpPolicy setting - verbose=1, n_steps=1024, batch_size=64, n_epochs = 4, gamma = 0.999, gae_lambda = 0.98, ent_coef = 0.01 Agent playing LunarLander-v2

This is a trained model of a PPO with MlpPolicy setting - verbose=1, n_steps=1024, batch_size=64, n_epochs = 4, gamma = 0.999, gae_lambda = 0.98, ent_coef = 0.01 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

...