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TEI
2010
ACM
163views Hardware» more  TEI 2010»
15 years 10 months ago
Action and representation in tangible systems: implications for design of learning interactions
In tangible learning systems, the facility to promote physically active engagement highlights the need to understand how different designs impact on action and interaction, and th...
Sara Price, Jennifer G. Sheridan, Taciana Pontual ...
IADIS
2003
15 years 4 months ago
Knowledge Acquisition Strategies and Navigation in Hypermedia Learning Environments: THe Influence of Instructional Design Prope
In order to understand and enhance the value of new media in education it is necessary to develop criteria for the evaluation of the effectiveness of learning with hypermedia envi...
Mattias Steinke, Thomas Huk, Christian Floto
IJRR
2008
186views more  IJRR 2008»
15 years 3 months ago
Automated Design of Adaptive Controllers for Modular Robots using Reinforcement Learning
Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...
Paulina Varshavskaya, Leslie Pack Kaelbling, Danie...
ICASSP
2009
IEEE
15 years 10 months ago
Active learning for semi-supervised multi-task learning
We present an algorithm for active learning (adaptive selection of training data) within the context of semi-supervised multi-task classifier design. The semi-supervised multi-ta...
Hui Li, Xuejun Liao, Lawrence Carin
GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
15 years 6 months ago
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Isao Ono, Tetsuo Nijo, Norihiko Ono