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» Rational Bidding Using Reinforcement Learning
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CSE
2008
IEEE
13 years 11 months ago
Adaptation to Dynamic Resource Availability in Ad Hoc Grids through a Learning Mechanism
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 ...
Behnaz Pourebrahimi, Koen Bertels
ATAL
2007
Springer
13 years 11 months ago
Reinforcement learning in extensive form games with incomplete information: the bargaining case study
We consider the problem of finding optimal strategies in infinite extensive form games with incomplete information that are repeatedly played. This problem is still open in lite...
Alessandro Lazaric, Jose Enrique Munoz de Cote, Ni...
AMEC
2004
Springer
13 years 10 months ago
Three Automated Stock-Trading Agents: A Comparative Study
Abstract. This paper documents the development of three autonomous stocktrading agents within the framework of the Penn Exchange Simulator (PXS), a novel stock-trading simulator th...
Alexander A. Sherstov, Peter Stone
ATAL
2009
Springer
13 years 12 months ago
Bounded rationality via recursion
Current trends in model construction in the field of agentbased computational economics base behavior of agents on either game theoretic procedures (e.g. belief learning, fictit...
Maciej Latek, Robert L. Axtell, Bogumil Kaminski
AOIS
2004
13 years 6 months ago
Market-Based Recommender Systems: Learning Users' Interests by Quality Classification
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings