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ppo-LunarLander-v2

Reinforcement Learning stable-baselines3 LunarLander-v2 deep-reinforcement-learning Eval Results

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ppo-LunarLander-v2 / README.md

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Parameters: PPO model, batch_size: 32, n_steps: 512, epochs: 10, gamma: 0.999, gae_lambda: 0.95, ent_coef: 0.01, total_timesteps=2000000

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AigizK commited on Feb 14, 2023

Upload PPO LunarLander-v2 trained agent

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AigizK commited on Feb 14, 2023