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ML
1998
ACM
101views Machine Learning» more  ML 1998»
14 years 10 months ago
Elevator Group Control Using Multiple Reinforcement Learning Agents
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
Robert H. Crites, Andrew G. Barto
ACMICEC
2006
ACM
150views ECommerce» more  ACMICEC 2006»
15 years 5 months ago
A framework for managing optimization models for supply chain software agents
As third party logistic services become popular, the role of software agents increases in importance in terms of the logistics scheduling of buyers and sellers. To support many mo...
Jae Kyu Lee, Yong Sik Chang
WCE
2007
15 years 9 days ago
A Multi-Agent Approach for Intelligent Traffic-Light Control
—In this paper we propose a multi-agent approach for traffic-light control. According to this approach, our system consists of agents and their world. In this context, the world ...
Visit Hirankitti, Jaturapith Krohkaew, Christopher...
140
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DAMAS
2005
Springer
15 years 4 months ago
Cognitive Agents for Sense and Respond Logistics
We present a novel cognitive agent architecture and demonstrate its effectiveness in the Sense and Respond Logistics (SRL) domain. Effective applications to support SRL must antic...
Kshanti A. Greene, David G. Cooper, Anna L. Buczak...
IPPS
2002
IEEE
15 years 4 months ago
A Framework for Network Management Using Mobile Agents
Conventional network management is based on SNMP and often run in a centralized manner. Although the centralized management approach gives network administrators a flexibility of ...
Manoj Kumar Kona, Cheng-Zhong Xu