As part of an undergraduate engineering class project, a simulation of the Detroit Tigers offense was created to explore potential changes that would increase number of wins. More...
Jared Davis, Barbara Fordyce, James Cicala, Matthe...
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
The study of complex networks led to the belief that the connectivity of network nodes generally follows a Power-law distribution. In this work, we show that modeling large-scale ...
Alessandra Sala, Haitao Zheng, Ben Y. Zhao, Sabrin...
One of the most important decisions about the architecture of a server program is its concurrency mechanisms. However, a good concurrency model for general-purpose server programs ...
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...