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» Control Dependence for Extended Finite State Machines
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TSMC
2008
146views more  TSMC 2008»
13 years 7 months ago
Decentralized Learning in Markov Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
Peter Vrancx, Katja Verbeeck, Ann Nowé
PPSN
2010
Springer
13 years 5 months ago
Evolving a Single Scalable Controller for an Octopus Arm with a Variable Number of Segments
Abstract. While traditional approaches to machine learning are sensitive to highdimensional state and action spaces, this paper demonstrates how an indirectly encoded neurocontroll...
Brian G. Woolley, Kenneth O. Stanley
CDC
2008
IEEE
239views Control Systems» more  CDC 2008»
14 years 1 months ago
Construction of Lyapunov-Krasovskii functional for time-varying delay systems
This paper provides some new techniques to construct a LyapunovKrasovskii functional for time varying delay systems. The construction is based on a partitioning scheme of the time...
Yassine Ariba, Frédéric Gouaisbaut
CVPR
2012
IEEE
11 years 9 months ago
Background segmentation with feedback: The Pixel-Based Adaptive Segmenter
In this paper we present a novel method for foreground segmentation. Our proposed approach follows a nonparametric background modeling paradigm, thus the background is modeled by ...
Martin Hofmann 0011, Philipp Tiefenbacher, Gerhard...
ICML
2006
IEEE
14 years 8 months ago
Predictive linear-Gaussian models of controlled stochastic dynamical systems
We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...
Matthew R. Rudary, Satinder P. Singh