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» Robust Optimal Switching Control for Nonlinear Systems
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ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
14 years 10 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
COMCOM
2006
150views more  COMCOM 2006»
14 years 12 months ago
Adaptive ad hoc self-organizing scheduling for quasi-periodic sensor network lifetime
Wireless sensor networks are poised to revolutionize our abilities in sensing and controlling our environment. Power conservation is a primary research concern for these networks....
Sharat C. Visweswara, Rudra Dutta, Mihail L. Sichi...
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
15 years 5 months ago
Evolving cooperative strategies for UAV teams
We present a Genetic Programming approach to evolve cooperative controllers for teams of UAVs. Our focus is a collaborative search mission in an uncertain and/or hostile environme...
Marc D. Richards, L. Darrell Whitley, J. Ross Beve...
IWSOS
2009
Springer
15 years 6 months ago
Laying Pheromone Trails for Balanced and Dependable Component Mappings
This paper presents an optimization framework for finding efficient deployment mappings of replicated service components (to nodes), while accounting for multiple services simult...
Máté J. Csorba, Hein Meling, Poul E....
TFS
2008
157views more  TFS 2008»
14 years 11 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin