English

BetaRun Soccer Simulation League Team: Variety, Complexity, and Learning

Artificial Intelligence 2017-08-22 v2

Abstract

RoboCup offers a set of benchmark problems for Artificial Intelligence in form of official world championships since 1997. The most tactical advanced and richest in terms of behavioural complexity of these is the 2D Soccer Simulation League, a simulated robotic soccer competition. BetaRun is a new attempt combining both machine learning and manual programming approaches, with the ultimate goal to arrive at a team that is trained entirely from observing and playing games, and a new development based on agent2D.

Keywords

Cite

@article{arxiv.1703.04115,
  title  = {BetaRun Soccer Simulation League Team: Variety, Complexity, and Learning},
  author = {Olivia Michael and Oliver Obst},
  journal= {arXiv preprint arXiv:1703.04115},
  year   = {2017}
}

Comments

A sketch for a new team for RoboCup 2D simulation league, currently planned for 2018