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Deep-Q-Learning-for-Lunar-Landing

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Deep Q-Learning consists of combining Q-Learning with Artificial Neural Networks. Inputs are encoded vectors, each one defining a state of the environment. These inputs go to an Artificial Neural Network, where the output is the action to play

Creat2024-04-02T12:53:50
Update2024-04-04T13:56:43
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