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)
Configurations/Parameters
model = PPO(
policy="MlpPolicy",
env=env,
n_steps=2048,
batch_size=64,
n_epochs=6,
gamma=0.999,
gae_lambda=0.98,
ent_coef=0.01,
verbose=1,
)
total_timesteps=750000
...
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Evaluation results
- mean_reward on LunarLander-v2self-reported261.64 +/- 17.88