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CIA
2007
Springer
15 years 8 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 3 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»
15 years 1 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
101
Voted
ICMCS
2008
IEEE
142views Multimedia» more  ICMCS 2008»
15 years 8 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
105
Voted
JAT
2006
64views more  JAT 2006»
15 years 1 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...