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» Optimal Sequential Exploration: A Binary Learning Model
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SAB
2010
Springer
117views Optimization» more  SAB 2010»
13 years 6 months ago
Indirectly Encoding Neural Plasticity as a Pattern of Local Rules
Biological brains can adapt and learn from past experience. In neuroevolution, i.e. evolving artificial neural networks (ANNs), one way that agents controlled by ANNs can evolve t...
Sebastian Risi, Kenneth O. Stanley
CORR
2011
Springer
142views Education» more  CORR 2011»
12 years 11 months ago
Taming Numbers and Durations in the Model Checking Integrated Planning System
The Model Checking Integrated Planning System (MIPS) has shown distinguished performance in the second and third international planning competitions. With its object-oriented fram...
Stefan Edelkamp
GLOBECOM
2008
IEEE
14 years 2 months ago
Optimal Location Updates in Mobile Ad Hoc Networks: A Separable Cost Case
Abstract—We consider the location service in a mobile adhoc network (MANET), where each node needs to maintain its location information in the network by (i) frequently updating ...
Zhenzhen Ye, Alhussein A. Abouzeid
CI
2002
92views more  CI 2002»
13 years 7 months ago
Model Selection in an Information Economy: Choosing What to Learn
As online markets for the exchange of goods and services become more common, the study of markets composed at least in part of autonomous agents has taken on increasing importance...
Christopher H. Brooks, Robert S. Gazzale, Rajarshi...
AI
2009
Springer
14 years 2 months ago
Grid-Enabled Adaptive Metamodeling and Active Learning for Computer Based Design
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Dirk Gorissen