Source Code and Binaries
3D Simulation League
- UT Austin Villa RoboCup 3D Simulation Base Code Release
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The 3D simulation team's base code release is hosted on GitHub.
- Binaries
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The 3D simulation team's released binaries can be found on the 3D
simulation team homepage.
Standard Platform League
- UT Austin Villa SPL 2012 Code Release
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Source code release for the 2012 season: austinVilla2012.tar.gz
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This code release consists of the core of the UT Austin Villa 2012
code. The code should work out of the box, if the color tables match
the environment encountered. There are some differences from the code
used in the 2012 competition, most notably that the behavior code
provided is much simpler.
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Though we are providing the code "as is" with no promised support, we are happy
to receive feedback, and we encourage people to let us know if they are able to
make good use of the code. For any questions, contact UT Austin Villa
at UTAustinVilla-legged (at) cs (dot) utexas (dot) edu.
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If you use this code for research purposes, please cite this paper.
Legged League
- Aibo Kick Learning Source
- Source release associated with kick learning research. Includes Tekkotsu classes and machine learning algorithms needed to recreate the experiments in this project.
(kickOpt.tar.gz)
Simulation Leagues
- Austin Villa Coach Binaries
- The Austin Villa simulated coach is an agent capable of giving
RocoCup soccer agents strategic advice about general play from handcoded
rules and opponent-specific advice from rules learned through observing
past opponent play.
- The 2003 coach was implemented mostly from scratch. However,
some of the code used to interface with the soccer server was taken from
the UvA
Trilearn base client. This is a Linux binary and has only
been tested on Debian 3.0.
(utav03coach.tar.gz)
- The 2004 coach was again implemented
mainly from scratch. However, some ideas were taken from the
2003 version. This is a Linux binary and has only
been tested on Debian 3.1.
(utav_04_coach.tar.gz)
- Austin Villa Coachable Player Source
- The Austin Villa coachable players are RoboCup soccer agents capable
of incorporating advice given in the standardized coach language
(CLang). The players are built upon the UvA
Trilearn base client. This code has only
been tested on Debian 3.1.
(ut_coachable_source.tar.gz)