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ATAL
2009
Springer
14 years 3 months ago
Stronger CDA strategies through empirical game-theoretic analysis and reinforcement learning
We present a general methodology to automate the search for equilibrium strategies in games derived from computational experimentation. Our approach interleaves empirical game-the...
L. Julian Schvartzman, Michael P. Wellman
ATAL
2007
Springer
14 years 3 months ago
Incentive compatible ranking systems
Ranking systems are a fundamental ingredient of multi-agent environments and Internet Technologies. These settings can be viewed as social choice settings with two distinguished p...
Alon Altman, Moshe Tennenholtz
GECCO
2007
Springer
119views Optimization» more  GECCO 2007»
14 years 3 months ago
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
Emma Byrne
ENC
2005
IEEE
14 years 2 months ago
Saving Evaluations in Differential Evolution for Constrained Optimization
Generally, evolutionary algorithms require a large number of evaluations of the objective function in order to obtain a good solution. This paper presents a simple approach to sav...
Efrén Mezura-Montes, Carlos A. Coello Coell...
ICALP
2005
Springer
14 years 2 months ago
Randomized Fast Design of Short DNA Words
We consider the problem of efficiently designing sets (codes) of equal-length DNA strings (words) that satisfy certain combinatorial constraints. This problem has numerous motivati...
Ming-Yang Kao, Manan Sanghi, Robert T. Schweller