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AROBOTS
1999
104views more  AROBOTS 1999»
14 years 9 months ago
Reinforcement Learning Soccer Teams with Incomplete World Models
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
Marco Wiering, Rafal Salustowicz, Jürgen Schm...
BMCBI
2010
108views more  BMCBI 2010»
14 years 7 months ago
BIGSdb: Scalable analysis of bacterial genome variation at the population level
Background: The opportunities for bacterial population genomics that are being realised by the application of parallel nucleotide sequencing require novel bioinformatics platforms...
Keith A. Jolley, Martin C. J. Maiden
BMCBI
2006
116views more  BMCBI 2006»
14 years 9 months ago
Gene annotation and network inference by phylogenetic profiling
Background: Phylogenetic analysis is emerging as one of the most informative computational methods for the annotation of genes and identification of evolutionary modules of functi...
Jie Wu, Zhenjun Hu, Charles DeLisi
GECCO
2009
Springer
193views Optimization» more  GECCO 2009»
15 years 2 months ago
Optimization of dynamic memory managers for embedded systems using grammatical evolution
New portable consumer embedded devices must execute multimedia applications (e.g., 3D games, video players and signal processing software, etc.) that demand extensive memory acces...
José L. Risco-Martín, David Atienza,...
IFIPTCS
2000
15 years 1 months ago
Masaccio: A Formal Model for Embedded Components
Masaccio is a formal model for hybrid dynamical systems which are built from atomic discrete components (di erence equations) and atomic continuous components (di erential equation...
Thomas A. Henzinger