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» Generating Multimedia Presentations for RoboCup Soccer Games
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IDEAL
2009
Springer
14 years 1 days ago
The Winning Advantage: Using Opponent Models in Robot Soccer
Opponent modeling is a skill in multi-agent systems (MAS) which attempts to create a model of the behavior of the opponent. This model can be used to predict the future actions of ...
José Antonio Iglesias, Juan Antonio Fern&aa...
AAI
1998
112views more  AAI 1998»
13 years 7 months ago
The Robocup Physical Agent Challenge: Phase I
Traditional AI research has not given due attention to the important role that physical bodies play for agents as their interactions produce complex emergent behaviors to achieve ...
Minoru Asada, Peter Stone, Hiroaki Kitano, Barry B...
RAS
2008
150views more  RAS 2008»
13 years 7 months ago
Logic-based robot control in highly dynamic domains
In this paper we present the robot programming and planning language Readylog, a Golog dialect which was developed to support the decision making of robots acting in dynamic real-...
Alexander Ferrein, Gerhard Lakemeyer
KCAP
2005
ACM
14 years 1 months ago
Knowledge transfer via advice taking
We present a framework for knowledge transfer from one reinforcement learning task to a related task through advicetaking mechanisms. We discuss the importance of transfer in comp...
Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richa...
ROBOCUP
1999
Springer
102views Robotics» more  ROBOCUP 1999»
13 years 11 months ago
A Method for Localization by Integration of Imprecise Vision and a Field Model
In recent years, many researchers in AI and Robotics pay attention to RoboCup, because robotic soccer games needs various techniques in AI and Robotics, such as navigation, behavi...
Kazunori Terada, Kouji Mochizuki, Atsushi Ueno, Hi...