Deep Reinforcement Learning for Flappy Bird

deep Reinforcement Learning forFlappy BirdKevin ChenAbstract Reinforcement Learning is essential for appli-cations where there is no single correct way to solve aproblem. In this project, we show that deep reinforcementlearning is very effective at Learning how to play the gameFlappy bird , despite the high-dimensional sensory agent is not given information about what the birdor pipes look like - it must learn these representationsand directly use the input and score to develop an optimalstrategy. Our agent uses a convolutional neural network toevaluate the Q-function for a variant of Q- Learning , andwe show that it is able to achieve super-human perfor-mance.

Deep Reinforcement Learning for Flappy Bird Kevin Chen Abstract—Reinforcement learning is essential for appli-cations where there is no single correct way to solve a ... agent successfully play the game Flappy Bird. Flappy Bird is a game in which the player tries to keep the bird alive for as long as possible. The bird automatically falls

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  Learning, Games, Deep, Bird, Reinforcement, Flappy, Deep reinforcement learning for flappy bird, Game flappy

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