We consider finite horizon Markov decision processes under performance measures that involve both the mean and the variance of the cumulative reward. We show that either randomiz...
We perform a study of existing dialogue corpora to establish the theoretical maximum performance of the selection approach to simulating human dialogue behavior in unseen dialogue...
This article provides a central limit theorem for a consistent estimator of the population eigenvalues of a class of sample covariance matrices. An exact expression as well as an ...
Jianfeng Yao, Romain Couillet, Jamal Najim, Eric M...
Range searching is among the most fundamental problems in computational geometry. An n-element point set in Rd is given along with an assignment of weights to these points from so...
In this article we consider the issue of optimal control in collaborative multi-agent systems with stochastic dynamics. The agents have a joint task in which they have to reach a ...