This article proposes the use of reinforcement learning (RL) algorithms to control the
position of a simulated Kephera IV mobile robot in a virtual environment. The simulated …

Path planning is a basic task of robot navigation, especially for autonomous robots. It is more
complex and difficult for multi-agent systems. The popular reinforcement learning method …

Mobile Robot Navigation is an advanced technique where static, dynamic, known and
unknown environment is involved. In this research, Genetic Algorithm (GA) is used to assist …

There are a lot of applications of multi-agent systems, such as robot navigation, distributed
control, data mining, etc. Reinforcement learning (RL) is a popular method used in multi …

Improved genetic algorithms incorporate other techniques, methods or algorithms to
optimize the performance of genetic algorithm. In this paper, improved genetic algorithms of …

A multi-agent system (MAS) is suitable for addressing tasks in a variety of domains without
any programmed behaviors, which makes it ideal for the problems associated with the …

Autonomous mobile robots' navigation has become a very popular and interesting topic of
computer science and robotics in the last decade. Many algorithms have been developed for …

In this paper, we propose an Enhanced Genetic Algorithm (EGA) to find the optimal path for
a mobile robot. The workspace of the mobile robot is assumed to be of known environment …

This chapter provides a brief overview of Q‐Learning and its applications to robotics. Then, it
formulates a source tracking problem where a robot is supposed to learn to navigate toward …

Function approximators have been extensively used in Reinforcement Learning (RL) to deal
with large or continuous space problems. However, batch learning Neural Networks (NN) …