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» Sporadic Control of First-Order Linear Stochastic Systems
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CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
13 years 2 months ago
Adaptive bases for Q-learning
Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
Dotan Di Castro, Shie Mannor
CDC
2009
IEEE
166views Control Systems» more  CDC 2009»
14 years 6 days ago
Idempotent method for dynamic games and complexity reduction in min-max expansions
— In recent years, idempotent methods (specifically, max-plus methods) have been developed for solution of nonlinear control problems. It was thought that idempotent linearity o...
William M. McEneaney
INFOCOM
2007
IEEE
14 years 1 months ago
The Impact of Stochastic Noisy Feedback on Distributed Network Utility Maximization
—The implementation of distributed network utility maximization (NUM) algorithms hinges heavily on information feedback through message passing among network elements. In practic...
Junshan Zhang, Dong Zheng, Mung Chiang
TNN
2010
173views Management» more  TNN 2010»
13 years 2 months ago
Global synchronization for discrete-time stochastic complex networks with randomly occurred nonlinearities and mixed time delays
Abstract--In this paper, the problem of stochastic synchronization analysis is investigated for a new array of coupled discretetime stochastic complex networks with randomly occurr...
Zidong Wang, Yao Wang, Yurong Liu
HYBRID
2010
Springer
14 years 2 months ago
On a control algorithm for time-varying processor availability
We consider an anytime control algorithm for the situation when the processor resource availability is time-varying. The basic idea is to calculate the components of the control i...
Vijay Gupta