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COLCOM
2008
IEEE
15 years 10 months ago
Learning Models of the Negotiation Partner in Spatio-temporal Collaboration
Abstract. We describe an approach for learning the model of the opponent in spatio-temporal negotiation. We use the Children in the Rectangular Forest canonical problem as an examp...
Yi Luo, Ladislau Bölöni
116
Voted
COLT
1993
Springer
15 years 8 months ago
Learning from a Population of Hypotheses
We introduce a new formal model in which a learning algorithm must combine a collection of potentially poor but statistically independent hypothesis functions in order to approxima...
Michael J. Kearns, H. Sebastian Seung
AI
2002
Springer
15 years 3 months ago
Multiagent learning using a variable learning rate
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
Michael H. Bowling, Manuela M. Veloso
ATAL
2008
Springer
15 years 6 months ago
Towards agents participating in realistic multi-unit sealed-bid auctions
When autonomous agents decide on their bidding strategies in real world auctions, they have a number of concerns that go beyond the models that are normally analyzed in traditiona...
Ioannis A. Vetsikas, Nicholas R. Jennings
130
Voted
ATAL
2010
Springer
15 years 5 months ago
Assignment problem in requirements driven agent collaboration and its implementation
Requirements Driven Agent Collaboration (RDAC) is a mechanism where the self-interested service agents actively and autonomously search for the required services submitted by the ...
Jian Tang, Zhi Jin