Typically agent evaluation is done through Monte Carlo estimation. However, stochastic agent decisions and stochastic outcomes can make this approach inefficient, requiring many s...
Michael H. Bowling, Michael Johanson, Neil Burch, ...
Policy evaluation is a critical step in the approximate solution of large Markov decision processes (MDPs), typically requiring O(|S|3 ) to directly solve the Bellman system of |S...
This paper presents the motivation, resources and results for the first Web People Search task, which was organized as part of the SemEval-2007 evaluation exercise. Also, we will ...
In this paper, we begin by laying out our motivation for exploring methods of evaluating Ambient Information Systems, with a strong push toward in-situ studies. Next, we describe ...
William R. Hazlewood, Kay Connelly, Kevin Makice, ...
Tagclouds are visual presentations of a set of words, typically a set of "tags" selected by some rationale, in which attributes of the text such as size, weight, or colo...
A. W. Rivadeneira, Daniel M. Gruen, Michael J. Mul...