159 search results - page 9 / 32 » Learning Complementary Multiagent Behaviors: A Case Study |
ATAL
2009
Springer
15 years 4 months ago
2009
Springer
Multi-agent systems are an attractive approach to modeling systems of interacting entities, but in some cases mathematical models of these systems can offer complementary benefits...
PPSN
2004
Springer
15 years 2 months ago
2004
Springer
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
106
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AAAI
2012
12 years 12 months ago
2012
A tailored model of a system is the prerequisite for various analysis tasks, such as anomaly detection, fault identification, or quality assurance. This paper deals with the algo...
126
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AGENTS
2001
Springer
15 years 2 months ago
2001
Springer
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
AI
2004
Springer
15 years 2 months ago
2004
Springer
The fitness function of an evolutionary algorithm is one of the few possible spots where application knowledge can be made available to the algorithm. But the representation and u...