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» On global and local convergence of half-quadratic algorithms
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ICASSP
2011
IEEE
12 years 9 months ago
A general proof of convergence for adaptive distributed beamforming schemes
This work focuses on the convergence analysis of adaptive distributed beamforming schemes that can be reformulated as local random search algorithms via a random search framework....
Chang-Ching Chen, Chia-Shiang Tseng, Che Lin
CIA
2007
Springer
13 years 12 months ago
Multi-agent Learning Dynamics: A Survey
Abstract. In this paper we compare state-of-the-art multi-agent reinforcement learning algorithms in a wide variety of games. We consider two types of algorithms: value iteration a...
H. Jaap van den Herik, Daniel Hennes, Michael Kais...
CDC
2010
IEEE
182views Control Systems» more  CDC 2010»
13 years 23 days ago
An approximate dual subgradient algorithm for multi-agent non-convex optimization
We consider a multi-agent optimization problem where agents aim to cooperatively minimize a sum of local objective functions subject to a global inequality constraint and a global ...
Minghui Zhu, Sonia Martínez
ICCV
2003
IEEE
14 years 7 months ago
Globally Convergent Autocalibration
Existing autocalibration techniques use numerical optimization algorithms that are prone to the problem of local minima. To address this problem, we have developed a method where ...
Arrigo Benedetti, Alessandro Busti, Michela Farenz...
ICASSP
2010
IEEE
13 years 6 months ago
Convergence analysis of consensus-based distributed clustering
This paper deals with clustering of spatially distributed data using wireless sensor networks. A distributed low-complexity clustering algorithm is developed that requires one-hop...
Pedro A. Forero, Alfonso Cano, Georgios B. Giannak...