… Abstract—Academic research in the field of autonomous vehicles has reached high … this
article describes one of these fields, Deep Reinforcement Learning (DRL). The paper provides …

… ABSTRACT Autonomous driving is a promising technology to reduce traffic … deep reinforcement
learning (DRL)-enabled decision-making policy is constructed for autonomous vehicles …

… of Deep Reinforcement Learning to handle intersection problems. Using recent advances in
Deep … of our current deep reinforcement learning system point to future research directions. …

… hybrid Deep Reinforcement learning and Genetic algorithm for Smart-Platooning (DRG-SP)
the AVs. The leverage of the deep reinforcement … Algorithm in Deep Reinforcement learning …

… Our approach aims to develop an agent that generates autonomous vehicle control based
on Deep Reinforcement Learning algorithm that solves a MDP. The following sections show …

… We model the interaction between the autonomous vehicle … driving behavior of the autonomous
vehicle is obtained as … strategy for the autonomous vehicle using reinforcement learning …

… autonomous driving systems running in traffic with both ADVs and HDVs, we mainly focus
on modeling vehicle interactions based on deep reinforcement … of surrounding vehicles, and …

… deep reinforcement learning framework to solve the taxi dispatch problem. The framework
can be used to redistribute vehicles … policy-based deep reinforcement learning algorithm as a …

… a control approach for autonomous vehicles based on deep reinforcement learning. A …
to control a fullsize research vehicle. For this, the autonomous exploration of a parking lot is …

… Owing to the rapid development of autonomous vehicle (AV) technologies, we are on the
cusp of a revolution in transportation on a scale not seen … Dense deep reinforcement learning …