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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
CDC
2010
IEEE
141views Control Systems» more  CDC 2010»
13 years 9 days ago
Using computer games for hybrid systems controller synthesis
Abstract-- We propose a formal method for feedback controller synthesis using interactive computer programs with graphical interface (in short, computer games). The main theoretica...
A. Agung Julius, Sina Afshari
IE
2007
13 years 6 months ago
Two families: dynamical policy models in interactive storytelling
In this paper we introduce a mathematical model of conflict that enhances Richardson’s model of Arms Race accounting for interactive scenarios, such as the ones provided by CRP...
Fabio Zambetta, Adam Nash, Paul Smith
ATAL
2011
Springer
12 years 5 months ago
Game theory-based opponent modeling in large imperfect-information games
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...
Sam Ganzfried, Tuomas Sandholm
BIBE
2008
IEEE
142views Bioinformatics» more  BIBE 2008»
13 years 11 months ago
Optimizing performance, cost, and sensitivity in pairwise sequence search on a cluster of PlayStations
— The Smith-Waterman algorithm is a dynamic programming method for determining optimal local alignments between nucleotide or protein sequences. However, it suffers from quadrati...
Ashwin M. Aji, Wu-chun Feng