AI moves on past games…
The game of Go provided a nicely constrained development platform for optimising these learning algorithms. But many real world problems are messier than this, and have less opportunity for the equivalent of self-play (for instance self-driving cars).So are there problems to which the current algorithms can be fairly immediately applied?
One example may be optimisation in controlled industrial settings. Here the goal is often to complete a complex series of tasks while satisfying multiple constraints and minimising cost.
As long as the possibilities can be accurately simulated, these algorithms can explore and learn from a vastly larger space of outcomes than will ever be possible for humans. Thus DeepMind’s bold claims seem likely to be realised, and as the company says, we can’t wait to see what comes next.

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