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IFIP
1998
Springer
15 years 6 months ago
Guiding Agent Learning in Design
In this paper we discuss the need for learning in multi-agent design systems, and the variety of forms it might take. We propose a particular method of guiding learning in these s...
Dan L. Grecu, David C. Brown
ECTEL
2006
Springer
15 years 6 months ago
A Technology Enhanced Learning Case from Birth to Deployment: Critical Analysis of the ALaRI Intranet Platform
This paper aims at illustrating the necessities that led to the decision of building a technological learning platform for the ALaRI (Advanced Learning and Research Institute) acad...
Carola Salvioni
ECML
2006
Springer
15 years 6 months ago
A Selective Sampling Strategy for Label Ranking
Abstract. We propose a novel active learning strategy based on the compression framework of [9] for label ranking functions which, given an input instance, predict a total order ov...
Massih-Reza Amini, Nicolas Usunier, Françoi...
COLT
2007
Springer
15 years 8 months ago
Minimax Bounds for Active Learning
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
Rui Castro, Robert D. Nowak
SAC
2005
ACM
15 years 8 months ago
Reinforcement learning agents with primary knowledge designed by analytic hierarchy process
This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...
Kengo Katayama, Takahiro Koshiishi, Hiroyuki Narih...