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» Guiding Agent Learning in Design
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GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
13 years 11 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
SIGMOD
2010
ACM
224views Database» more  SIGMOD 2010»
13 years 8 months ago
GDR: a system for guided data repair
Improving data quality is a time-consuming, labor-intensive and often domain specific operation. Existing data repair approaches are either fully automated or not efficient in int...
Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Nevi...
GCC
2003
Springer
14 years 28 days ago
Research and Design of Remote Education System Based on CSCW
Guided by the cooperation theory, this paper puts forward an interactive and cooperative learning environment design that is based on the self-learning mode and cooperative learnin...
Chunzhi Wang, Miao Shao, Jing Xia, Huachao Chen
ADMI
2010
Springer
13 years 6 months ago
Real-Time Sensory Pattern Mining for Autonomous Agents
Abstract. Autonomous agents are systems situated in dynamic environments. They pursue goals and satisfy their needs by responding to external events from the environment. In these ...
Pedro Sequeira, Cláudia Antunes
AIED
2007
Springer
14 years 1 months ago
MathGirls: Toward Developing Girls' Positive Attitude and Self-Efficacy through Pedagogical Agents
MathGirls is a pedagogical-agent-based environment designed for high-school girls learning introductory algebra. Since females are in general more interested in interactive computi...
Yanghee Kim, Quan Wei, Beijie Xu, Youngah Ko, Vess...