Abstract Nowadays, Artificial Intelligence (AI) is growing by leaps and bounds in almost all
fields of technology, and Autonomous Vehicles (AV) research is one more of them. This …

The operational space of an autonomous vehicle (AV) can be diverse and vary significantly.
Due to this, formulating a rule based decision maker for selecting driving maneuvers may …

Deep Reinforcement Learning has led us to newer possibilities in solving complex control
and navigation related tasks. The paper presents Deep Reinforcement Learning …

Autonomous driving is a promising technology to reduce traffic accidents and improve
driving efficiency. In this work, a deep reinforcement learning (DRL)-enabled decision …

In this paper, we propose a new autonomous braking system based on deep reinforcement
learning. The proposed autonomous braking system automatically decides whether to apply …

Academic research in the field of autonomous vehicles has reached high popularity in
recent years related to several topics as sensor technologies, V2X communications, safety …

We present a control approach for autonomous vehicles based on deep reinforcement
learning. A neural network agent is trained to map its estimated state to acceleration and …

This paper presents a study of a deep reinforcement learning technique that uses a Deep
Deterministic Policy Gradient network for application in navigation of mobile robots. In order …

Deep Reinforcement Learning (DRL) enables agents to make decisions based on a well-
designed reward function that suites a particular environment without any prior knowledge …

Given the recent advances in computer vision, image processing and control systems, self-
driving vehicles has been one of the most promising and challenging research topics …