In this study, reinforcement learning was applied to learning two-dimensional path planning
including obstacle avoidance by unmanned aerial vehicle (UAV) in an indoor environment …

The importance and necessity of artificial intelligence, particularly machine learning, has
recently been emphasized. In fact, artificial intelligence, such as intelligent surveillance …

Multi-agent reinforcement learning was performed in this study for indoor path planning of
two unmanned aerial vehicles (UAVs). Each UAV performed the task of moving as fast as …

Recently, autonomous navigation technology is actively being developed due to the
increasing demand of an unmanned surface vehicle (USV). Local planning is essential for …

This paper presents a novel methodology for designing the flight control system of a micro
aerial vehicle (MAV); it allows the MAV to learn how to fly by itself, without the risk of …

Recently, reinforcement learning has shown excellent performance in solving complex data
analysis problems in the real world, and many companies are actively introducing it …

In this paper, the energy transaction system was optimized by applying a resource allocation
algorithm and deep reinforcement learning in the distributed power system. The power …

The goal is to implement AI using reinforcement learning, which replaces the less favored
Supporter in MOBA games. ML_Agent implements game rules, environment, observation …

본 연구는 횡스크롤 액션 게임에서 강화학습 인공지능의 구축 및 이를 활용한 게임 레벨 평가를
목표로 한다. 이를 위해서 상용 게임에 학습 환경을 구성하고 인공지능 에이전트의 관측 방식과 …

Military deception is an action executed to deliberately mislead enemy's decision by
deceiving friendly forces intention. In the lessons learned from war history, deception …