2011 search results - page 221 / 403 » Universal Reinforcement Learning |
165
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IJCAI
2003
15 years 7 months ago
2003
In this paper we describe an integrated multilevel learning approach to multiagent coalition formation in a real-time environment. In our domain, agents negotiate to form teams to...
160
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AAAI
2000
15 years 7 months ago
2000
As applications for artificially intelligent agents increase in complexity we can no longer rely on clever heuristics and hand-tuned behaviors to develop their programming. Even t...
175
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JIKM
2006
15 years 6 months ago
2006
In the development of location-based services, various location-sensing techniques and experimental/commercial services have been used. However, conventional location-based service...
254
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ATAL
2009
Springer
16 years 19 days ago
2009
Springer
This paper introduces a new model, i.e. state-coupled replicator dynamics, expanding the link between evolutionary game theory and multiagent reinforcement learning to multistate ...
153
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PPSN
2004
Springer
15 years 11 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...