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» Discrete variational integrators and optimal control theory
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JMIV
2007
156views more  JMIV 2007»
13 years 7 months ago
Using the Shape Gradient for Active Contour Segmentation: from the Continuous to the Discrete Formulation
A variational approach to image or video segmentation consists in defining an energy depending on local or global image characteristics, the minimum of which being reached for ob...
Eric Debreuve, Muriel Gastaud, Michel Barlaud, Gil...
GECCO
2006
Springer
206views Optimization» more  GECCO 2006»
13 years 11 months ago
Adaptive discretization for probabilistic model building genetic algorithms
This paper proposes an adaptive discretization method, called Split-on-Demand (SoD), to enable the probabilistic model building genetic algorithm (PMBGA) to solve optimization pro...
Chao-Hong Chen, Wei-Nan Liu, Ying-Ping Chen
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
13 years 6 months ago
Reinforcement learning of motor skills in high dimensions: A path integral approach
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
CDC
2009
IEEE
135views Control Systems» more  CDC 2009»
13 years 5 months ago
Formation control via distributed optimization of alignment error
This paper proposes a method for the stabilization of vehicle formations in the plane under a fixed, but not necessarily complete, sensing graph. In this method each agent acts to ...
Brandon J. Moore, Carlos Canudas de Wit
AUTOMATICA
1999
145views more  AUTOMATICA 1999»
13 years 7 months ago
Control of systems integrating logic, dynamics, and constraints
This paper proposes a framework for modeling and controlling systems described by interdependent physical laws, logic rules, and operating constraints, denoted as mixed logical dy...
Alberto Bemporad, Manfred Morari