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CIA
2007
Springer
15 years 6 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...
WSC
2001
15 years 1 months ago
Global random optimization by simultaneous perturbation stochastic approximation
We examine the theoretical and numerical global convergence properties of a certain "gradient free" stochastic approximation algorithm called the "simultaneous pertu...
John L. Maryak, Daniel C. Chin
MOC
1998
89views more  MOC 1998»
14 years 11 months ago
Approximation of continuous time stochastic processes by a local linearization method
This paper investigates the rate of convergence of an alternative approximation method for stochastic differential equations. The rates of convergence of the one-step and multi-st...
Isao Shoji
ICMCS
2008
IEEE
142views Multimedia» more  ICMCS 2008»
15 years 6 months ago
Community coordinated multimedia: Converging content-driven and service-driven models
Human experience is being extended and enhanced by collaboratively consuming electronic and networked content and multimedia-intensive services. This technical phenomenon is addre...
Jiehan Zhou, Mika Rautiainen, Mika Ylianttila
JAT
2006
64views more  JAT 2006»
14 years 11 months ago
A strongly convergent reflection method for finding the projection onto the intersection of two closed convex sets in a Hilbert
A new iterative method for finding the projection onto the intersection of two closed convex sets in a Hilbert space is presented. It is a Haugazeau-like modification of a recentl...
Heinz H. Bauschke, Patrick L. Combettes, D. Russel...