155 search results - page 20 / 31 » Multi-agent Reinforcement Learning Using Strategies and Voti... |
AE
2003
Springer
15 years 2 months ago
2003
Springer
The aim of this research is to develop an adaptive agent based model of auction scenarios commonly used in auction theory to help understand how competitors in auctions reach equil...
EPIA
1995
Springer
15 years 1 months ago
1995
Springer
Abstract. The paper introduces a reinforcement learning-based methodology for performance improvement of Intelligent Controllers. The translation interfaces of a 3-level Hierarchic...
120
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SIGDIAL
2010
14 years 7 months ago
2010
This paper presents a spoken dialogue framework that helps users in making decisions. Users often do not have a definite goal or criteria for selecting from a list of alternatives...
72
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ACMICEC
2007
ACM
15 years 1 months ago
2007
ACM
This paper introduces algorithms for learning how to trade using insider (superior) information in Kyle's model of financial markets. Prior results in finance theory relied o...
101
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CSE
2008
IEEE
15 years 4 months ago
2008
IEEE
Ad-hoc Grids are highly heterogeneous and dynamic networks, one of the main challenges of resource allocation in such environments is to find mechanisms which do not rely on the ...