In this paper, we propose a policy gradient reinforcement learning algorithm to address transition-independent Dec-POMDPs. This approach aims at implicitly exploiting the locality...
We compare three Computer Vision approaches to 3-D reconstruction, namely passive Binocular Stereo and active Structured Lighting and Photometric Stereo, in application to human f...
Alexander Woodward, Da An, Georgy L. Gimel'farb, P...
An autonomic system is structured as a network of autonomic elements that collaborate to achieve the system’s purpose. This paper examines the potential benefit of using well-es...
David W. Bustard, Roy Sterritt, A. Taleb-Bendiab, ...
Recommender systems have evolved in the last years as specialized tools to assist users in a plethora of computermediated tasks by providing guidelines or hints. Most recommender ...
This paper presents a knowledge approach to designing team training systems using intelligent agents. We envision a computer-based training system in which teams are trained by pu...
Jianwen Yin, Michael S. Miller, Thomas R. Ioerger,...