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Move Evaluation in Go Using Deep Convolutional Neural Networks
Chris J. Maddison, Aja Huang, Ilya Sutskever +1
The game of Go is more challenging than other board games, due to the difficulty of constructing a position or move evaluation function. In this paper we investigate whether deep c…
A* Sampling
Chris J. Maddison, Daniel Tarlow, Tom Minka
The problem of drawing samples from a discrete distribution can be converted into a discrete optimization problem. In this work, we show how sampling from a continuous distribution…
Structured Generative Models of Natural Source Code
Chris J. Maddison, Daniel Tarlow
We study the problem of building generative models of natural source code (NSC); that is, source code written and understood by humans. Our primary contribution is to describe a fa…