Deep Reinforcement Learning: Playing a Racing Game - Byte Tank

#artificialintelligence 

Above is the built deep Q-network (DQN) agent playing Out Run, trained for a total of 1.8 million frames on a Amazon Web Services g2.2xlarge (GPU enabled) instance. The agent was built using python and tensorflow.

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