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JORS
2011
67views more  JORS 2011»
13 years 3 months ago
Robust parameter design optimization of simulation experiments using stochastic perturbation methods
Stochastic perturbation methods can be applied to problems for which either the objective function is represented analytically, or the objective function is the result of a simula...
A. K. Miranda, E. Del Castillo
CDC
2010
IEEE
126views Control Systems» more  CDC 2010»
13 years 3 months ago
Bifurcation of singular arcs in an optimal control problem for cancer immune system interactions under treatment
A mathematical model for cancer treatment that includes immunological activity is considered as an optimal control problem. In the uncontrolled system there exist both a region of ...
Urszula Ledzewicz, Mohammad Naghnaeian, Heinz Sch&...
JMLR
2010
148views more  JMLR 2010»
13 years 2 months ago
A Generalized Path Integral Control Approach to Reinforcement Learning
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
JCC
2008
166views more  JCC 2008»
13 years 8 months ago
Reference energy extremal optimization: A stochastic search algorithm applied to computational protein design
: We adapt a combinatorial optimization algorithm, extremal optimization (EO), for the search problem in computational protein design. This algorithm takes advantage of the knowled...
Naigong Zhang, Chen Zeng
TON
2010
132views more  TON 2010»
13 years 6 months ago
The optimality of two prices: maximizing revenue in a stochastic communication system
—This paper considers the problem of pricing and transmission scheduling for an Access Point (AP) in a wireless network, where the AP provides service to a set of mobile users. T...
Longbo Huang, Michael J. Neely