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ICCBR
2005
Springer
15 years 3 months ago
CBR for State Value Function Approximation in Reinforcement Learning
CBR is one of the techniques that can be applied to the task of approximating a function over high-dimensional, continuous spaces. In Reinforcement Learning systems a learning agen...
Thomas Gabel, Martin A. Riedmiller
MA
1997
Springer
149views Communications» more  MA 1997»
15 years 1 months ago
Java-Based Mobile Agents - How to Migrate, Persist, and Interact on Electronic Service Markets
This paper presents a mobile agent approach that aims at satisfying the following requirements of open Internet-based electronic service markets: the mobile agent system should be...
Boris Liberman, Frank Griffel, Michael Merz, Winfr...
IEICET
2007
73views more  IEICET 2007»
14 years 9 months ago
An ON-OFF Multi-Rate Loss Model of Finite Sources
Bursty traffic is dominant in modern communication networks and keeps the call-level QoS assessment an open issue. ON-OFF traffic models are commonly used to describe bursty tra...
Ioannis D. Moscholios, Michael D. Logothetis, Mich...
88
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PRIMA
2007
Springer
15 years 3 months ago
An Agent Modeling Method Based on Scenario Rehearsal for Multiagent Simulation
Multiagent Systems are potential computational systems for various practical applications, tools, and so on. Multiagent simulation is one of the remarkable application to evaluate ...
Shohei Yamane, Toru Ishida
EMS
2009
IEEE
15 years 4 months ago
Simulation of a Smart Grid City with Software Agents
—In the future smart city, new information and communication technologies will enable a better management of the available resources. The future smart grid infrastructure is emer...
Stamatis Karnouskos, Thiago Nass de Holanda