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)
Parameters
model = PPO(
policy = "MlpPolicy",
env = env,
learning_rate = 0.0001,
n_steps = 1024,
batch_size = 32,
n_epochs = 16,
gamma = 0.999,
ent_coef = 0.01,
verbose = 1
)
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Evaluation results
- mean_reward on LunarLander-v2self-reported282.71 +/- 20.92
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="SimingSiming/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", )