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ICML
2003
IEEE
16 years 7 months ago
AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Oppon
A satisfactory multiagent learning algorithm should, at a minimum, learn to play optimally against stationary opponents and converge to a Nash equilibrium in self-play. The algori...
Vincent Conitzer, Tuomas Sandholm
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 10 months ago
Evolutionary search for optimal combinations of markers in clothing manufacturing
Optimizing combinations of placements of parts, known as markers, is an important preparatory step in order-based industrial production of clothes. Given a work order in the form ...
Bogdan Filipic, Iztok Fister, Marjan Mernik
BROADNETS
2007
IEEE
16 years 26 days ago
Optimizing dimensionality and accelerating landmark positioning for coordinates based RTT predictions
Abstract— In this paper we analyze the positioning of landmarks in coordinates-based Internet distance prediction approaches with focus on Global Network Positioning (GNP). We sh...
Dragan Milic, Torsten Braun
TCSV
2008
115views more  TCSV 2008»
15 years 6 months ago
Dynamic Proposal Variance and Optimal Particle Allocation in Particle Filtering for Video Tracking
Abstract--This paper presents a novel particle allocation approach to particle filtering which minimizes the total tracking distortion for a fixed number of particles over a video ...
Pan Pan, Dan Schonfeld
JCO
2006
96views more  JCO 2006»
15 years 6 months ago
One-dimensional optimal bounded-shape partitions for Schur convex sum objective functions
Consider the problem of partitioning n nonnegative numbers into p parts, where part i can be assigned ni numbers with ni lying in a given range. The goal is to maximize a Schur con...
F. H. Chang, H. B. Chen, J. Y. Guo, Frank K. Hwang...