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ACMACE
2007
ACM
15 years 10 months ago
Motivated reinforcement learning for adaptive characters in open-ended simulation games
Recently a new generation of virtual worlds has emerged in which users are provided with open-ended modelling tools with which they can create and modify world content. The result...
Kathryn Elizabeth Merrick, Mary Lou Maher
AAAI
2008
15 years 8 months ago
Simulation-Based Approach to General Game Playing
The aim of General Game Playing (GGP) is to create intelligent agents that automatically learn how to play many different games at an expert level without any human intervention. ...
Hilmar Finnsson, Yngvi Björnsson
ICDM
2009
IEEE
111views Data Mining» more  ICDM 2009»
16 years 19 days ago
A Game Theoretical Model for Adversarial Learning
Abstract—It is now widely accepted that in many situations where classifiers are deployed, adversaries deliberately manipulate data in order to reduce the classifier’s accura...
Wei Liu, Sanjay Chawla
AI
2007
Springer
15 years 6 months ago
Multi-agent learning for engineers
As suggested by the title of Shoham, Powers, and Grenager’s position paper [34], the ultimate lens through which the multi-agent learning framework should be assessed is “what...
Shie Mannor, Jeff S. Shamma
CORR
2011
Springer
171views Education» more  CORR 2011»
15 years 1 months ago
Parallel Online Learning
Online learning algorithms have impressive convergence properties when it comes to risk minimization and convex games on very large problems. However, they are inherently sequenti...
Daniel Hsu, Nikos Karampatziakis, John Langford, A...