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Deep Reinforcement Learning for Flappy Bird

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Published on Mar 15, 2016

Code on Github:
https://github.com/yenchenlin/DeepLea...
This video shows an AI agent learn how to play Flappy Bird using deep reinforcement learning.
This learning network architecture takes pixels as input and outputs the estimated future rewards for each action.

This work is inspired by and based on the following papers:
https://www.cs.toronto.edu/~vmnih/doc...
http://cs229.stanford.edu/proj2015/36...
And the game is modified from:
https://github.com/sourabhv/FlapPyBird

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