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)
model = PPO( policy = 'MlpPolicy', env = env, n_steps = 1024, batch_size = 64, n_epochs = 10, gamma = 0.999, gae_lambda = 0.98, ent_coef = 0.01, verbose=1)
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- mean_reward on LunarLander-v2self-reported279.25 +/- 16.69