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IROS
2008
IEEE
125views Robotics» more  IROS 2008»
16 years 1 months ago
Dynamic correlation matrix based multi-Q learning for a multi-robot system
—Multi-robot reinforcement learning is a very challenging area due to several issues, such as large state spaces, difficulty in reward assignment, nondeterministic action selecti...
Hongliang Guo, Yan Meng
SCESM
2006
ACM
269views Algorithms» more  SCESM 2006»
16 years 16 days ago
Inferring operational requirements from scenarios and goal models using inductive learning
Goal orientation is an increasingly recognised Requirements Engineering paradigm. However, integration of goal modelling with operational models remains an open area for which the...
Dalal Alrajeh, Alessandra Russo, Sebastián ...
AIED
2005
Springer
16 years 4 days ago
The role of learning goals in the design of ILEs: Some issues to consider
Part of the motivation behind the evolution of learning environments is the idea of providing students with individualized instructional strategies that allow them to learn as much...
Erika Martínez-Mirón, Amanda Harris,...
PDC
2004
ACM
16 years 10 hour ago
The promise and perils of a participatory approach to developing an open source community learning network
This paper describes and analyses the early developmental stages of a community learning network based in an urban community and social service agency. With government funding, th...
Robert Luke, Andrew Clement, Randall Terada, Domin...
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 11 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong