240 search results - page 11 / 48 » Distributed Interactive Learning in Multi-Agent Systems |
130
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PPSN
2004
Springer
15 years 9 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...
110
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SE
2007
15 years 5 months ago
2007
: A growing demand for distributed and decentralized software, together with an increasing inherent complexity of these systems challenges traditional software engineering practice...
143
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ATAL
2009
Springer
15 years 10 months ago
2009
Springer
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
144
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AAMAS
2002
Springer
15 years 4 months ago
2002
Springer
Abstract. One of the main questions concerning learning in a Multi-Agent System's environment is: "(How) can agents benefit from mutual interaction during the learning pr...
104
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ATAL
2007
Springer
15 years 10 months ago
2007
Springer
This article deals with the problem of collaborative learning in a multi-agent system. Here each agent can update incrementally its beliefs B (the concept representation) so that ...