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ICML
2010
IEEE
13 years 6 months ago
Convergence, Targeted Optimality, and Safety in Multiagent Learning
This paper introduces a novel multiagent learning algorithm, Convergence with Model Learning and Safety (or CMLeS in short), which achieves convergence, targeted optimality agains...
Doran Chakraborty, Peter Stone
ALT
2002
Springer
14 years 2 months ago
Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning
We describe a new boosting algorithm that is the first such algorithm to be both smooth and adaptive. These two features make possible performance improvements for many learning ...
Dmitry Gavinsky
CORR
2007
Springer
148views Education» more  CORR 2007»
13 years 5 months ago
Linear time algorithms for Clobber
We prove that the single-player game clobber is solvable in linear time when played on a line or on a cycle. For this purpose, we show that this game is equivalent to an optimizat...
Vincent D. Blondel, Julien M. Hendrickx, Raphael M...
RSA
2008
80views more  RSA 2008»
13 years 3 months ago
The persistent-access-caching algorithm
ABSTRACT: Caching is widely recognized as an effective mechanism for improving the performance of the World Wide Web. One of the key components in engineering the Web caching syste...
Predrag R. Jelenkovic, Ana Radovanovic
GECCO
2003
Springer
118views Optimization» more  GECCO 2003»
13 years 10 months ago
Population Sizing Based on Landscape Feature
Abstract. Population size for EvolutionaryAlgorithms is usually an empirical parameter. We study the population size from aspects of fitness landscapes’ ruggedness and Probably ...
Jian Zhang, Xiaohui Yuan, Bill P. Buckles