강화학습 알고리즘을 이용한 이동로봇의 행동형태 연구 = Study on Motion Forms of a Mobile Robot by Using Reinforcement Learning

다국어 초록 (Multilingual Abstract)

The main advantage of reinforcement learning is to provide an unexpected solution for designer. In this paper, we investigate the motion forms of the mobile robot with two-dimension by using Q-Learning algorithm which is one of interesting reinforcement learning problems. Moreover, we clarify transit motion forms under learning process of a robot with two-dimensional mobile function and analysis the motion forms on the axis of x and y. The learning results show the possibility of obtaining the unexpected new learning motion forms and understanding the transit motion forms under learning process by the reinforcement learning.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 시스템의 구성
• 3. 학습 시뮬레이션과 실험방법
• 4. 실험결과 및 고찰
• 5. 결론
• 참고문헌