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Learning Behavior of Virtual Robot using Compensation Signal  

Hwang, Su-Chul (Dept. of Computer Engineering and Systems, Inha Technical College)
Publication Information
전자공학회논문지 IE / v.44, no.3, 2007 , pp. 35-41 More about this Journal
Abstract
In this paper we suggest a model that the virtual robot based on artificial intelligence performs learning with compensation signals and compare the leaning speed of the virtual robot according to the compensation method after applying it to three type environments. As a result our model has showed that positive compensation is superior to hybrid one mixed positive and negative if there are enough time for learning in case of more or less complicated environment with the numerous foods, obstacles and robots. Otherwise hybrid method is better than positive one.
Keywords
Virtual Robot; Neural Network; Genetic Algorithm; Machine Learning;
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