An innovative algorithm called Spectral Expansion Tree Search helps autonomous robotic systems make optimal choices on the move.

Without any lookahead search, the neural networks play Go at the level of state-of-the-art Monte Carlo tree search programs that simulate thousands of random games of self-play.