— It is well known that complex networks have become a very important part of our daily lives and have been intensively studied in all fields over the last few years. This paper...
In-vehicle navigation has changed substantially in recent years, due to the advent of computer generated maps and directions. However, these maps are still problematic, due to a m...
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...
Recently, the use of in-vehicle navigation devices, such as PNDs (Personal or Portable Navigation Devices) has become pervasive, and the device functions have been rapidly expande...
Myounghoon Jeon, Junho Park, Ubeom Heo, Jongmin Yu...
— We explore an online problem where a group of robots has to find a target whose position is unknown in an unknown planar environment whose geometry is acquired by the robots d...