Google DeepMind’s Algorithm Can Now Explore 3D Mazes

Google DeepMind thinks the best way to teach machines how to learn about the world is to place them in a virtual one, namely in video games. Since the entire experience is virtual, it’s easy to reproduce exact scenarios and get a nearly unlimited amount of data from a single game. In the past, DeepMind has developed algorithms to learn from (and beat) 2D Atari games like Breakout and Pac-Man. In a recent paper, DeepMind has taken on the third dimension, and built a program that can navigate a 3D, Doom-like maze. The algorithm isn’t reading the code of the game, it’s literally looking at what any human player would see, and making decisions and judgments about where to go. The algorithm was developed to explore a 3D…


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