154 search results - page 2 / 31 » Learning Team Strategies: Soccer Case Studies |
AROBOTS
1999
13 years 4 months ago
1999
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...
ISRR
2001
Springer
13 years 9 months ago
2001
Springer
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...
EPIA
2005
Springer
13 years 10 months ago
2005
Springer
In this paper, we look at the Multi-Agent Meeting Scheduling problem where distributed agents negotiate meeting times on behalf of their users. While many negotiation approaches ha...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
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...
MLMTA
2003
13 years 6 months ago
2003
Abstract— The prediction of the future states in MultiAgent Systems has been a challenging problem since the begining of MAS. Robotic soccer is a MAS environment in which the pre...