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ppo-LunarLander-v2

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

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PPO MLP Policy Architecture Agent playing LunarLander-v2

This is a trained model of a PPO MLP Policy Architecture agent playing LunarLander-v2 using the stable-baselines3 library.

Usage (with Stable-baselines3)

TODO: Add your code

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Reinforcement Learning

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Evaluation results

mean_reward on LunarLander-v2
self-reported

143.60 +/- 115.75

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