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Reinforcement learning / Multi-agent system / Computing / Load balancing / Science / Artificial intelligence / Complex systems theory / Agent-based model / Scientific modeling


Journal of Arti cial Intelligence Research Submitted 10/94; published 5/95 Adaptive Load Balancing: A Study in Multi-Agent Learning
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Document Date: 2008-12-11 12:42:14

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City

Haifa / Roma / /

Company

Italy Yoav Shoham Robotics Laboratory / /

Country

Israel / /

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Facility

Computer Science Department Stanford University / /

IndustryTerm

real loosely-coupled systems / distributed operating systems / parallel processing terminology / interval estimation algorithm / classical distributed computer systems / synchronous systems / multi-agent systems / emergent load-balancing systems / distributed computer systems / /

Organization

AI Access Foundation / USA Moshe Tennenholtz Faculty of Industrial Engineering / Stanford University / Technion / /

Person

Moshe Tennenholtz / Malone / /

Position

product manager / General / /

Product

SRs / /

ProvinceOrState

California / /

SportsLeague

Stanford University / /

Technology

interval estimation algorithm / Load Balancing / artificial intelligence / operating systems / pdA / parallel processing / /

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