Search Results for author:
Found 2 papers, 0 papers with code
Cache-Friendly Search Trees; or, In Which Everything Beats std::set
While a lot of work in theoretical computer science has gone into optimizing the runtime and space usage of data structures, such work very often neglects a very important component of modern computers: the cache.
Playing Go without Game Tree Search Using Convolutional Neural Networks
We introduce three structures and training methods that aim to create a strong Go player: non-rectangular convolutions, which will better learn the shapes on the board, supervised learning, training on a data set of 53, 000 professional games, and reinforcement learning, training on games played between different versions of the network.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
