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Project for Artificial Neural Networks (CS-456) course, reinforcement learning for moon landing using policy gradient algorithm.

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Reinforcement Learning - Moon Lander

This project was conducted in the context of the CS-456 lecture, given by Professor Gerstner Wulfram at EPFL.

It uses the library Gym by OpenAI to model the environment and was the opportunity to implement several variation of the REINFORCE Policy Gradient algorithm.

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Project for Artificial Neural Networks (CS-456) course, reinforcement learning for moon landing using policy gradient algorithm.

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