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WWW
2005
ACM
16 years 3 months ago
Learning how to learn with web contents
Learning Web contents requires learners not only to navigate the Web pages to construct their own knowledge from the contents learned at and between the pages, but also to control...
Akihiro Kashihara, Shinobu Hasegawa
105
Voted
ECML
2007
Springer
15 years 8 months ago
Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling
In this paper we investigate the relation between transfer learning in reinforcement learning with function approximation and supervised learning with concept drift. We present a n...
Jan Ramon, Kurt Driessens, Tom Croonenborghs
120
Voted
ICWL
2007
Springer
15 years 8 months ago
Structured Blended Learning Implementation for an Open Learning Environment
Abstract. This paper proposes a structured blended learning for providing elearning strategies adopted by the Open University of Hong Kong (OUHK). The paper identified the factors ...
Jason K. Y. Chan, Ken C. K. Law
129
Voted
IROS
2006
IEEE
190views Robotics» more  IROS 2006»
15 years 8 months ago
Q-RAN: A Constructive Reinforcement Learning Approach for Robot Behavior Learning
Abstract— This paper presents a learning system that uses Qlearning with a resource allocating network (RAN) for behavior learning in mobile robotics. The RAN is used as a functi...
Jun Li, Achim J. Lilienthal, Tomás Mart&iac...
IADIS
2004
15 years 4 months ago
Designing Meta-Learning Tool for Learning Web Contents
Learning in hyperspace provided by Web contents requires learners not only to navigate the Web pages to construct their own knowledge from the contents learned at and between the ...
Akihiro Kashihara, Shinobu Hasegawa