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This paper is devoted to fair optimization in Multiobjective Markov Decision Processes (MOMDPs). A MOMDP is an extension of the MDP model for planning under uncertainty while trying to optimize several reward functions simultaneously. This applies to multiagent problems when rewards define individual utility functions, or in multicrite-ria problems when(More)
The UT Austin Villa team, from the University of Texas at Austin, won the 2015 RoboCup 3D Simulation League, winning all 19 games that the team played. During the course of the competition the team scored 87 goals and conceded only 1. Additionally the team won the RoboCup 3D Simulation League technical challenge by winning each of a series of three league(More)
This article discusses the importance of integrating health care with information technology to improve the efficiency, effectiveness, and innovation of health care institutions. It is argued that in addition to networking and the selection of a distributed client/server architecture that conforms to open systems protocols, the adoption of standards and the(More)
Acknowledgments Many thanks to my advisor Peter Stone for many years of support and encouragement throughout the PhD process. In particular, I remember a dark time when I was directionless and depressed about the prospect of finding fruitful research directions or ever graduating. You told me that all PhDs go through a period where they are lost in the(More)
In recent years, the automotive industry has been rapidly advancing toward connected vehicles with higher degrees of autonomous capabilities. This trend opens up many new possibilities for AI-based efficient traffic management. This paper investigates traffic optimization through the setting and broadcasting of dynamic and adaptive tolls under the(More)
Over the past several years the RoboCup 3D simulation league has been evolving from a competition dominated by good walking and dribbling skills to one in which multiagent kicking and passing behavior is increasingly important. This presentation will give an overview of the UT Austin Villa team's approach, incorporating machine learning, to the following(More)
UT Austin Villa is a robot soccer team that has competed in the annual RoboCup soccer competitions since 2003. The team has won several championships and has inspired research contributions spanning many topics in robotics and artificial intelligence. This article summarizes some of these research contributions and provides a snapshot into the current(More)
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