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» Analyzing learning concepts in intelligent tutoring systems
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AAAI
2010
14 years 11 months ago
Reinforcement Learning Via Practice and Critique Advice
We consider the problem of incorporating end-user advice into reinforcement learning (RL). In our setting, the learner alternates between practicing, where learning is based on ac...
Kshitij Judah, Saikat Roy, Alan Fern, Thomas G. Di...
FLAIRS
1998
14 years 11 months ago
Analytical Design of Reinforcement Learning Tasks
Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...
Robert E. Smith
CIMCA
2005
IEEE
15 years 3 months ago
Hybrid Neural Networks for Immunoinformatics
Hybrid set of optimally trained feed-forward, Hopfield and Elman neural networks were used as computational tools and were applied to immunoinformatics. These neural networks ena...
Khrizel B. Solano, Tolja Djekovic, Mohamed Zohdy
MM
2004
ACM
94views Multimedia» more  MM 2004»
15 years 3 months ago
Towards automated story analysis using participatory design
Involving a school teacher in the development of the intelligent writing tutor StoryStation allowed progress to be made on the problem of story classification, an aspect of story...
Harry Halpin, Johanna D. Moore, Judy Robertson
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
15 years 4 months ago
Modeling XCS in class imbalances: population size and parameter settings
This paper analyzes the scalability of the population size required in XCS to maintain niches that are infrequently activated. Facetwise models have been developed to predict the ...
Albert Orriols-Puig, David E. Goldberg, Kumara Sas...