Josiah Hanna

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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)
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)
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