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ATAL
2006
Springer
15 years 7 months ago
Action awareness: enabling agents to optimize, transform, and coordinate plans
As agent systems are solving more and more complex tasks in increasingly challenging domains, the systems themselves are becoming more complex too, often compromising their adapti...
Freek Stulp, Michael Beetz
138
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TEC
2002
128views more  TEC 2002»
15 years 3 months ago
A framework for evolutionary optimization with approximate fitness functions
It is not unusual that an approximate model is needed for fitness evaluation in evolutionary computation. In this case, the convergence properties of the evolutionary algorithm are...
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
117
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COR
2008
116views more  COR 2008»
15 years 3 months ago
Robust multiperiod portfolio management in the presence of transaction costs
We study the viability of different robust optimization approaches to multiperiod portfolio selection. Robust optimization models treat future asset returns as uncertain coefficie...
Dimitris Bertsimas, Dessislava Pachamanova
134
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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
15 years 7 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
144
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IJAR
2010
130views more  IJAR 2010»
15 years 2 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki