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University of Diyala Digital Repository | المستودع الرقمي لجامعة ديالى
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المجلات الأكاديمية الجامعية | University Academic Journals
مجلة ديالى للعلوم الهندسية / Diyala Journal of Engineering Sciences (DJES)
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Issue Date
Title
Author(s)
2016
Effect of Concrete Compressive Strength on Shear Strength of Self Compacted R.C Rectangular, T and I Sections Beams
Zena Waleed Abass
;
Kamal Sh. Mahmoud
;
Lina Abdul Salam Shihab
2012-06-01
Programming robots is a useful tedious task, so there is growing interest in building robots which can learn by themselves. This paper describes the Reinforcement Learning and teaching approach like Queue Learning (Q-Learning) to be implemented for robotics technology environment navigation and exploration. Q – Learning algorithm is one of the widely used online learning methods in robotics; it is simple, efficient, and not need to complex process as in adaptive system. The aim of this work is to empower the agent to learn a certain goal directed navigation strategy and to generate a shortest path in static environment which contain static obstacles; it uses one of the important intelligent search methods the “heuristic”. It makes a necessary modification for the search algorithm to suit the way of solving the problem. In our approach of learning from demonstration, the robot learns a reward function from the demonstration and a task model from repeated attempts (trials) to perform the task. A simplified reinforcement learning algorithm based on one-step Q-Learning that is optimized in speed and memory consumption is proposed and implemented in Visual Basic language (VB). The robot can be built using stepper motors and
Zena Waleed Abass
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Author
1
Kamal Sh. Mahmoud
1
Lina Abdul Salam Shihab
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1
I-Section, T-Section
1
Rectangular Section
1
Self-Compacted Concrete
1
Shear Strength
1
teel Fiber, ANSYS 7.0, Concrete, ...
1
With And Without Stirrups
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2012
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2016
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