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SIAMJO
2008
81views more  SIAMJO 2008»
13 years 5 months ago
A First-Order Convergence Analysis of Trust-Region Methods with Inexact Jacobians
A class of trust-region algorithms is developed and analyzed for the solution of minimization problems with nonlinear inequality constraints. Based on composite-step trust region ...
Andrea Walther
CDC
2008
IEEE
129views Control Systems» more  CDC 2008»
14 years 1 months ago
Rate of Convergence for Consensus with Delays
— We study the problem of reaching a consensus in the values of a distributed system of agents with time-varying connectivity in the presence of delays. We consider a widely stud...
Pierre-Alexandre Bliman, Angelia Nedic, Asuman E. ...
NIPS
2008
13 years 8 months ago
Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm
We study the convergence and the rate of convergence of a local manifold learning algorithm: LTSA [13]. The main technical tool is the perturbation analysis on the linear invarian...
Andrew Smith, Xiaoming Huo, Hongyuan Zha
CIA
2007
Springer
14 years 1 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...
CORR
2008
Springer
116views Education» more  CORR 2008»
13 years 7 months ago
Polynomial Filtering for Fast Convergence in Distributed Consensus
Abstract--In the past few years, the problem of distributed consensus has received a lot of attention, particularly in the framework of ad hoc sensor networks. Most methods propose...
Effrosini Kokiopoulou, Pascal Frossard