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ATAL
2005
Springer
14 years 1 months ago
Automatic computer game balancing: a reinforcement learning approach
Designing agents whose behavior challenges human players adequately is a key issue in computer games development. This work presents a novel technique, based on reinforcement lear...
Gustavo Andrade, Geber Ramalho, Hugo Santana, Vinc...
AAAI
2008
13 years 10 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
ICML
2010
IEEE
13 years 9 months ago
Internal Rewards Mitigate Agent Boundedness
Abstract--Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals-however they came to be defined--while ignoring the rela...
Jonathan Sorg, Satinder P. Singh, Richard Lewis
ISCAS
2006
IEEE
112views Hardware» more  ISCAS 2006»
14 years 2 months ago
Differential and geometric properties of Rayleigh quotients with applications
the following cost functions: In this paper, learning rules are proposed for simultaneous corn- GI(U) = tr{(UTU)(UTBU)-lD, (la) putation of minor eigenvectors of a covariance matri...
M. A. Hasan
MM
2010
ACM
219views Multimedia» more  MM 2010»
13 years 8 months ago
A framework for photo-quality assessment and enhancement based on visual aesthetics
We present an interactive application that enables users to improve the visual aesthetics of their digital photographs using spatial recomposition. Unlike earlier work that focuse...
Subhabrata Bhattacharya, Rahul Sukthankar, Mubarak...