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Learning to tech to speed up learning.
Using a new cooperative learning technique, AI Lab researchers cut by half the time it took a pair of robot agents to learn to maneuver to opposite sides of a virtual room.

A combination of deep learning and reinforcement learning algorithms are responsible for computers achieving dominance at challenging board games like chess and Go, a growing number of video games, including Ms. Pac-Man, and some card games, including poker. But for all the progress, computers still get stuck the closer a game resembles real life, with hidden information, multiple players, continuous play, and a mix of short and long-term rewards that make computing the optimal move hopelessly complex.

Image: Dong-ki Kim

Comments
  • 2
    The image looks like a problem can be easily solved by A*.
    But we need deep neural network!
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