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EWCBR
2006
Springer
13 years 8 months ago
Multi-agent Case-Based Reasoning for Cooperative Reinforcement Learners
Abstract. In both research fields, Case-Based Reasoning and Reinforcement Learning, the system under consideration gains its expertise from experience. Utilizing this fundamental c...
Thomas Gabel, Martin Riedmiller
ICCBR
2009
Springer
13 years 11 months ago
Case-Based Reasoning in Transfer Learning
Positive transfer learning (TL) occurs when, after gaining experience from learning how to solve a (source) task, the same learner can exploit this experience to improve performanc...
David W. Aha, Matthew Molineaux, Gita Sukthankar
AAMAS
2005
Springer
13 years 4 months ago
Cooperative Multi-Agent Learning: The State of the Art
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Liviu Panait, Sean Luke
CIMCA
2006
IEEE
13 years 11 months ago
Multi-Agent Coalition Formation for Long-Term Task or Mobile Network
Coalition formation is a process to form a group and solve a problem via cooperation. Because of the rising of network, each computing device can communicate through network. We c...
Hsiu-Hui Lee, Chung-Hsien Chen
CORR
2010
Springer
185views Education» more  CORR 2010»
13 years 1 months ago
Analysing the behaviour of robot teams through relational sequential pattern mining
This report outlines the use of a relational representation in a Multi-Agent domain to model the behaviour of the whole system. A desired property in this systems is the ability of...
Grazia Bombini, Raquel Ros, Stefano Ferilli, Ramon...