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» Retrieving and Reusing Game Plays for Robot Soccer
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AAAI
2000
13 years 7 months ago
Defining and Using Ideal Teammate and Opponent Agent Models
A common challenge for agents in multiagent systems is trying to predict what other agents are going to do in the future. Such knowledge can help an agent determine which of its c...
Peter Stone, Patrick Riley, Manuela M. Veloso
ROBOCUP
2007
Springer
79views Robotics» more  ROBOCUP 2007»
13 years 11 months ago
Self-localization Using Odometry and Horizontal Bearings to Landmarks
On the way to the big goal - the game against the human world champion on a real soccer field - the configuration of the soccer fields in RoboCup has changed during the last yea...
Matthias Jüngel, Max Risler
GAMEON
2008
13 years 7 months ago
Generating Emergent Team Strategies in Football Simulation Videogames via Genetic Algorithms
This paper defends the use of evolutionary algorithms to generate (and evolve) strategies that manage the behavior of a team in simulated football videogames. The chosen framework...
Antonio J. Fernández, Carlos Cotta, Rafael ...
ICCBR
2010
Springer
13 years 9 months ago
Imitating Inscrutable Enemies: Learning from Stochastic Policy Observation, Retrieval and Reuse
In this paper we study the topic of CBR systems learning from observations in which those observations can be represented as stochastic policies. We describe a general framework wh...
Kellen Gillespie, Justin Karneeb, Stephen Lee-Urba...
ROBOCUP
2004
Springer
107views Robotics» more  ROBOCUP 2004»
13 years 11 months ago
Towards Illumination Invariance in the Legged League
Abstract. To date, RoboCup games have all been played under constant, bright lighting conditions. However, in order to meet the overall goal of RoboCup, robots will need to be able...
Mohan Sridharan, Peter Stone