RoboCup soccer simulation features the challenges of a fully distributed multi-agent domain
with continuous state and action spaces, partial observability, as well as noisy perception …

This article reports on the Sixth Robot World Cup Competition and Conference (RoboCup-
2002) Fukuoka/Busan, which took place from 19 to 25 June in Fukuoka, Japan. It was the …

CBR is one of the techniques that can be applied to the task of approximating a function over
high-dimensional, continuous spaces. In Reinforcement Learning systems a learning agent …

Neural batch reinforcement learning (RL) algorithms have recently shown to be a powerful
tool for model-free reinforcement learning problems. In this paper, we present a novel …

Neuroinformatics Group, University of Osnabrück, 49069 Osnabrück Robotic soccer is a
highly competitive domain. Accordingly, the use of learnt behaviors in this application field …

This article reports on the RoboCup-2003 event. RoboCup is no longer just the Soccer
World Cup for autonomous robots but has evolved to become a coordinated initiative …

This paper focuses on an investigation of case-based opponent player modeling in the
domain of simulated robotic soccer. While in previous and related work it has frequently …

Since robotic applications are becoming more and more sophisticated, the design,
development, and maintenance of the related software may benefit from a modular …

Mechatronics for Safety, Security and Dependability in a New Era contains selected leading
papers from the International Conference on Machine Automation 2004, the work of …

We describe here the humanoid challenge that is part of the RoboCup robot soccer
competitions. We focus on how relevant research issues of humanoid robotics—for example …