Deep Reinforcement Learning: Playing a Racing Game - Byte TankAgent playing Out Run, session 201609171218_175eps No time limit, no traffic, 2X time lapse 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. The Out Run game emulator is a modified version of Cannonball. All source code for this projec
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