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ROBOCUP
2004
Springer
101views Robotics» more  ROBOCUP 2004»
15 years 10 months ago
Navigation Controllability of a Mobile Robot Population
In this paper, the problem of determining if a population of mobile robots is able to travel from an initial conguration to a target conguration is addressed. This problem is rel...
Francisco A. Melo, M. Isabel Ribeiro, Pedro U. Lim...
APPROX
2010
Springer
160views Algorithms» more  APPROX 2010»
15 years 5 months ago
Proximity Algorithms for Nearly-Doubling Spaces
We introduce a new problem in the study of doubling spaces: Given a point set S and a target dimension d , remove from S the fewest number of points so that the remaining set has d...
Lee-Ad Gottlieb, Robert Krauthgamer
MOR
2007
109views more  MOR 2007»
15 years 4 months ago
Solution and Forecast Horizons for Infinite-Horizon Nonhomogeneous Markov Decision Processes
We consider the problem of solving a nonhomogeneous infinite horizon Markov Decision Process (MDP) problem in the general case of potentially multiple optimal first period polic...
Torpong Cheevaprawatdomrong, Irwin E. Schochetman,...
SODA
2012
ACM
223views Algorithms» more  SODA 2012»
13 years 7 months ago
Data reduction for weighted and outlier-resistant clustering
Statistical data frequently includes outliers; these can distort the results of estimation procedures and optimization problems. For this reason, loss functions which deemphasize ...
Dan Feldman, Leonard J. Schulman
AAAI
2006
15 years 6 months ago
A Value Theory of Meta-Learning Algorithms
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
Abraham Bagherjeiran