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» Using Learning in a Control Agent
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IDEAL
2004
Springer
14 years 1 months ago
Learning Users' Interests in a Market-Based Recommender System
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
ECAI
2008
Springer
13 years 9 months ago
Active Concept Learning For Ontology Evolution
This paper proposes an approach that enables agents to teach each other concepts from their ontologies using examples. Unlike other concept learning approaches, our approach enable...
Murat Sensoy, Pinar Yolum
ABIALS
2008
Springer
14 years 2 months ago
A Two-Level Model of Anticipation-Based Motor Learning for Whole Body Motion
Abstract. We present a model of motor learning based on a combination of Operational Space Control and Optimal Control. Anticipatory processes are used both in the learning of the ...
Camille Salaün, Vincent Padois, Olivier Sigau...
ACMACE
2006
ACM
14 years 1 months ago
Motivated reinforcement learning for non-player characters in persistent computer game worlds
Massively multiplayer online computer games are played in complex, persistent virtual worlds. Over time, the landscape of these worlds evolves and changes as players create and pe...
Kathryn Elizabeth Merrick, Mary Lou Maher
LDVF
2000
112views more  LDVF 2000»
13 years 7 months ago
The instructible agent Lokutor
In this paper we describe Lokutor, a virtual human. Lokutor is a partially autonomous agent, inhabiting a 3D virtual environment. The agent can be controlled via natural language ...
Jan-Torsten Milde