@COMMENT This file was generated by bib2html.pl version 0.90
@COMMENT written by Patrick Riley
@COMMENT This file came from Peter Stone's publication pages at
@COMMENT http://www.cs.utexas.edu/~pstone/papers
@InCollection{LNAI21-MacAlpine,
author="Patrick MacAlpine and Bo Liu and William Macke and Caroline Wang and Peter Stone",
editor="Rachid Alami and Joydeep Biswas and Maya Cakmak and Oliver Obst",
title="{UT} {A}ustin {V}illa: {R}obo{C}up 2021 3{D} Simulation League Competition Champions",
booktitle="{R}obo{C}up 2021: Robot World Cup {XXIV}",
year="2022",
publisher="Springer International Publishing",
pages="314--26",
abstract="The UT Austin Villa team, from the University of Texas at Austin, won the 2021 RoboCup 3D Simulation League, winning all 19 games the team played. During the course of the competition the team scored 108 goals while conceding only 5. Additionally the team finished second in the overall RoboCup 3D Simulation League technical challenge by finishing second in both the fat proxy and scientific challenges. This paper details and analyzes the results of the 2021 competition, and also presents a new deep RL learning framework that was presented during the scientific challenge.",
isbn="978-3-030-98682-7",
wwwnote={Accompanying videos at http://www.cs.utexas.edu/~AustinVilla/sim/3dsimulation/#2021}
}