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CORR
2010
Springer
127views Education» more  CORR 2010»
13 years 7 months ago
Mean field for Markov Decision Processes: from Discrete to Continuous Optimization
We study the convergence of Markov Decision Processes made of a large number of objects to optimization problems on ordinary differential equations (ODE). We show that the optimal...
Nicolas Gast, Bruno Gaujal, Jean-Yves Le Boudec
PPSN
2004
Springer
14 years 1 months ago
LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix Adaptation
Abstract. Evolution Strategies, Evolutionary Algorithms based on Gaussian mutation and deterministic selection, are today considered the best choice as far as parameter optimizatio...
Anne Auger, Marc Schoenauer, Nicolas Vanhaecke
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
14 years 2 months ago
Three interconnected parameters for genetic algorithms
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
Pedro A. Diaz-Gomez, Dean F. Hougen
CORR
2008
Springer
189views Education» more  CORR 2008»
13 years 7 months ago
Algorithms for Dynamic Spectrum Access with Learning for Cognitive Radio
We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooperati...
Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli
AI
1999
Springer
13 years 7 months ago
Emergent Cooperative Goal-Satisfaction in Large Scale Automated-Agent Systems
Cooperation among autonomous agents has been discussed in the DAI community for several years. Papers about cooperation 6,45 , negotiation 33 , distributed planning 5 , and coalit...
Onn Shehory, Sarit Kraus, Osher Yadgar