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CG
1998
Springer
13 years 9 months ago
From Simple Features to Sophisticated Evaluation Functions
This paper discusses a practical framework for the semi automatic construction of evaluation functions for games. Based on a structured evaluation function representation, a proced...
Michael Buro
ENTCS
2008
140views more  ENTCS 2008»
13 years 5 months ago
Functions and Lazy Evaluation in Prolog
There are several proposals for extending Prolog with functional capabilities. The basic idea is to enlarge the language with function definitions that are translated (or expanded...
Juan Rodríguez-Hortalá, Jaime S&aacu...
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
13 years 12 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
CVPR
2012
IEEE
11 years 7 months ago
Boosting algorithms for simultaneous feature extraction and selection
The problem of simultaneous feature extraction and selection, for classifier design, is considered. A new framework is proposed, based on boosting algorithms that can either 1) s...
Mohammad J. Saberian, Nuno Vasconcelos