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» Using Learning in a Control Agent
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IAT
2008
IEEE
13 years 8 months ago
Cognitive Agents Integrating Rules and Reinforcement Learning for Context-Aware Decision Support
While context-awareness has been found to be effective for decision support in complex domains, most of such decision support systems are hard-coded, incurring significant develop...
Teck-Hou Teng, Ah-Hwee Tan
AAMAS
2002
Springer
13 years 7 months ago
Cooperative Multiagent Learning
Cooperation and learning are two ways in which an agent can improve its performance. Cooperative Multiagent Learning is a framework to analyze the tradeoff between cooperation and ...
Enric Plaza, Santiago Ontañón
ISN
2000
Springer
162views Communications» more  ISN 2000»
13 years 11 months ago
An Approach to Network Control and Resource Management Based on Intelligent Agents
Network Control is currently carried out mainly by means of signalling protocols. Although these protocols are robust and facilitate standardisation, they present several drawback...
Evangelos Vayias, John Soldatos, Nikolas Mitrou
AAAI
2008
13 years 10 months ago
Simulation-Based Approach to General Game Playing
The aim of General Game Playing (GGP) is to create intelligent agents that automatically learn how to play many different games at an expert level without any human intervention. ...
Hilmar Finnsson, Yngvi Björnsson
ARGMAS
2006
Springer
13 years 11 months ago
Arguments and Counterexamples in Case-Based Joint Deliberation
Multiagent learning can be seen as applying ML techniques to the core issues of multiagent systems, like communication, coordination, and competition. In this paper, we address the...
Santiago Ontañón, Enric Plaza