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ICML
1998
IEEE
16 years 7 months ago
The MAXQ Method for Hierarchical Reinforcement Learning
This paper presents a new approach to hierarchical reinforcement learning based on the MAXQ decomposition of the value function. The MAXQ decomposition has both a procedural seman...
Thomas G. Dietterich
CSREAEEE
2006
99views Business» more  CSREAEEE 2006»
15 years 8 months ago
Quality Assurance Procedures: New Enhancements to the Learning Management System at AOU
- This paper presents a complete description of the improvements that have been conducted for the learning management system at Arab Open University. AOU is the first regional univ...
Jehad Al-Sadi, Bayan Abu Shawar, Taleb Sarie
154
Voted
CORR
2008
Springer
118views Education» more  CORR 2008»
15 years 7 months ago
Learning Low-Density Separators
Abstract. We define a novel, basic, unsupervised learning problem learning the the lowest density homogeneous hyperplane separator of an unknown probability distribution. This task...
Shai Ben-David, Tyler Lu, Dávid Pál,...
211
Voted
ICRA
2010
IEEE
148views Robotics» more  ICRA 2010»
15 years 5 months ago
Body schema acquisition through active learning
— We present an active learning algorithm for the problem of body schema learning, i.e. estimating a kinematic model of a serial robot. The learning process is done online using ...
Ruben Martinez-Cantin, Manuel Lopes, Luis Montesan...
251
Voted
AH
2000
Springer
15 years 11 months ago
A Connectionist Approach for Supporting Personalized Learning in a Web-Based Learning Environment
The paper investigates the use of computational intelligence for adaptive lesson presentation in a Web-based learning environment. A specialized connectionist architecture is devel...
Kyparisia A. Papanikolaou, George D. Magoulas, Mar...