This paper describes the integration of perceptual guidelines from human vision with an AI-based mixed-initiative search technique. The result is a visualization assistant, a syst...
Christopher G. Healey, Robert St. Amant, Jiae Chan...
Unsupervised online learning in commercial computer games allows computer-controlled opponents to adapt to the way the game is being played. As such it provides a mechanism to deal...
Pieter Spronck, Ida G. Sprinkhuizen-Kuyper, Eric O...
This paper concerns approximate nearest neighbor searching algorithms, which have become increasingly important, especially in high dimensional perception areas such as computer v...
Ting Liu, Andrew W. Moore, Alexander G. Gray, Ke Y...
Abstract. The aim of our work is to develop a flexible and powerful Knowledge Acquisition framework that allows users to rapidly develop Natural Language Processing systems, includ...
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...