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» Algorithmic Control in Concurrent Computations
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CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
15 years 11 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn
MOBIHOC
2008
ACM
16 years 6 months ago
Rendezvous design algorithms for wireless sensor networks with a mobile base station
Recent research shows that significant energy saving can be achieved in wireless sensor networks with a mobile base station that collects data from sensor nodes via short-range co...
Guoliang Xing, Tian Wang, Weijia Jia, Minming Li
178
Voted
MVA
2007
210views Computer Vision» more  MVA 2007»
15 years 7 months ago
Represent Image Contents Using Curves and Chain Code
This paper presents a new approach to extracting and representing structural features of images. The approach is based on both a region-based analysis and a contour-based analysis...
Pornchai Mongkolnam, Chakarida Nukoolkit, Thanee D...
ICDCS
2010
IEEE
15 years 4 months ago
Safe and Stabilizing Distributed Cellular Flows
Advances in wireless vehicular networks present us with opportunities for developing new distributed traffic control algorithms that avoid phenomena such as abrupt phase-transition...
Taylor Johnson, Sayan Mitra, Karthik Manamcheri
CDC
2010
IEEE
117views Control Systems» more  CDC 2010»
15 years 1 months ago
Distributed iterative regularization algorithms for monotone Nash games
In this paper, we consider the development of single-timescale schemes for the distributed computation of Nash equilibria. In general, equilibria associated with convex Nash games ...
Aswin Kannan, Uday V. Shanbhag