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» A New Way to Introduce Knowledge into Reinforcement Learning
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ISNN
2007
Springer
15 years 6 months ago
A Cognitive Model of Concept Learning with a Flexible Internal Representation System
In the human mind, high-order knowledge is categorically organized, yet the nature of its internal representation system is not well understood. While it has been traditionally con...
Toshihiko Matsuka, Yasuaki Sakamoto
MICAI
2010
Springer
14 years 10 months ago
Teaching a Robot to Perform Tasks with Voice Commands
The full deployment of service robots in daily activities will require the robot to adapt to the needs of non-expert users, particularly, to learn how to perform new tasks from “...
Ana C. Tenorio-Gonzalez, Eduardo F. Morales, Luis ...
GECCO
2000
Springer
114views Optimization» more  GECCO 2000»
15 years 3 months ago
Intelligent Recombination Using Individual Learning in a Collective Learning Genetic Algorithm
This paper introduces a new collective learning genetic algorithm (CLGA) which employs individual learning to do intelligent recombination based on a cooperative exchange of knowl...
Terry P. Riopka, Peter Bock
ATAL
2009
Springer
15 years 6 months ago
Using relational concept knowledge to improve search in referral networks
The notion of referral networks, as presented in the work of Singh and Yolum, and their application to knowledge management, lacks two fundamental aspects; the relation of concept...
Tony White, Shawn McQuaker, Amirali Salehi-Abari
AAAI
2007
15 years 2 months ago
A Robot That Uses Existing Vocabulary to Infer Non-Visual Word Meanings from Observation
The authors present TWIG, a visually grounded wordlearning system that uses its existing knowledge of vocabulary, grammar, and action schemas to help it learn the meanings of new ...
Kevin Gold, Brian Scassellati