کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2576518 1561356 2007 4 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of the optimal parameter values in reinforcement learning as a function of the environment
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی زیست شناسی مولکولی
پیش نمایش صفحه اول مقاله
Prediction of the optimal parameter values in reinforcement learning as a function of the environment
چکیده انگلیسی

Reinforcement learning (RL), suitable for navigation of a mobile robot, has a difficulty in that parameter values can only be determined by trial and error. We proposed to use a genetic algorithm (GA) with inheritance to obtain optimal parameter values in RL, which drastically reduced the computational cost, and we proposed further reduction in our previous study. Our proposal, however, had to optimize the parameter values in RL for every environment, which was impractical due to the huge computational cost. In this paper, we propose to predict the optimal parameter values in RL as a function of measures for the complexity of the environment by multiple regression analysis, and we succeed in estimating the optimal parameter values in RL.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Congress Series - Volume 1301, July 2007, Pages 210–213
نویسندگان
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