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» On Learning Soccer Strategies
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AROBOTS
1999
104views more  AROBOTS 1999»
13 years 5 months ago
Reinforcement Learning Soccer Teams with Incomplete World Models
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
Marco Wiering, Rafal Salustowicz, Jürgen Schm...
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
13 years 11 months ago
Event-driven learning classifier systems for online soccer games
This paper reports on the application of classifier systems to the acquisition of decision-making algorithms for agents in online soccer games. The objective of this research is t...
Yuji Sato, Ryutaro Kanno
GECCO
2006
Springer
198views Optimization» more  GECCO 2006»
13 years 9 months ago
Reward allotment in an event-driven hybrid learning classifier system for online soccer games
This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. Our a...
Yuji Sato, Yosuke Akatsuka, Takenori Nishizono
ISRR
2001
Springer
140views Robotics» more  ISRR 2001»
13 years 9 months ago
The Evolution of a Robot Soccer Team
Abstract. This paper traces four years of evolution of the UNSW team in the RoboCup Sony legged robot league. The lessons learned in the creation of a competitive team are instruct...
Claude Sammut, Bernhard Hengst
CEC
2005
IEEE
13 years 7 months ago
Making soccer kicks better: a study in particle swarm optimization and evolution strategies
Biomechanics is a science of examining the internal and external forces on the human body. In biomechanics, forward dynamics simulation models can be used to study optimal control ...
Namrata Khemka, Christian Jacob, Gerald Cole