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188
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GECCO
2004
Springer
115views Optimization» more  GECCO 2004»
16 years 13 days ago
Parameter-Less Hierarchical BOA
Abstract. The parameter-less hierarchical Bayesian optimization algorithm (hBOA) enables the use of hBOA without the need for tuning parameters for solving each problem instance. T...
Martin Pelikan, Tz-Kai Lin
189
Voted
ATAL
2003
Springer
16 years 8 days ago
Coordination in multiagent reinforcement learning: a Bayesian approach
Much emphasis in multiagent reinforcement learning (MARL) research is placed on ensuring that MARL algorithms (eventually) converge to desirable equilibria. As in standard reinfor...
Georgios Chalkiadakis, Craig Boutilier
BTW
2003
Springer
170views Database» more  BTW 2003»
16 years 8 days ago
Executing Nested Queries
Abstract: Optimization of nested queries, in particular finding equivalent “flattened” queries for queries that employ the SQL sub-query construct, has been researched extensiv...
Goetz Graefe
GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
16 years 7 days ago
Are Multiple Runs of Genetic Algorithms Better than One?
Abstract. There are conflicting reports over whether multiple independent runs of genetic algorithms (GAs) with small populations can reach solutions of higher quality or can fin...
Erick Cantú-Paz, David E. Goldberg
186
Voted
ICRA
2002
IEEE
94views Robotics» more  ICRA 2002»
15 years 12 months ago
Sensor Planning and Control in a Dynamic Environment
This paper presents an approach to the problem of controlling the configuration of a team of mobile agents equipped with cameras so as to optimize the quality of the estimates de...
John R. Spletzer, Camillo J. Taylor