Guest
The game of Go has long been viewed as the most challenging of classic games for artificial intelligence owing to its enormous search space and the difficulty of evaluating board positions and moves. During my talk, I will tell about how Deepmind used convolutional neural networks for reducing effective search space and how networks were combined with Monte Carlo Tree Search.
