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» Predictive State Representations: A New Theory for Modeling ...
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AR
2002
157views more  AR 2002»
13 years 7 months ago
Acquiring state from control dynamics to learn grasping policies for robot hands
Abstract--A prominent emerging theory of sensorimotor development in biological systems proposes that control knowledge is encoded in the dynamics of physical interaction with the ...
Roderic A. Grupen, Jefferson A. Coelho Jr.
ATAL
2008
Springer
13 years 9 months ago
Switching dynamics of multi-agent learning
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
Peter Vrancx, Karl Tuyls, Ronald L. Westra
AAAI
2006
13 years 9 months ago
Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
David Wingate, Satinder P. Singh
ICASSP
2011
IEEE
12 years 11 months ago
Smart grid monitoring for intrusion and fault detection with new locally optimum testing procedures
The vulnerability of smart grid systems is a growing concern. Signal detection theory is employed here to detect a change in the system. We employ a discrete-time linear state spa...
Qian He, Rick S. Blum
ICCAD
2006
IEEE
138views Hardware» more  ICCAD 2006»
14 years 4 months ago
Analytical modeling of SRAM dynamic stability
In this paper, for the first time, a theory for evaluating dynamic noise margins of SRAM cells is developed analytically. The results allow predicting the transient error suscepti...
Bin Zhang, Ari Arapostathis, Sani R. Nassif, Micha...