Planning under social interactions with other agents is an essential problem for autonomous
driving. As the actions of the autonomous vehicle in the interactions affect and are also …

Social robots are being designed to use human-like communication techniques, including
body language, social signals, and empathy, to work effectively with people. Just as …

Autonomous vehicles (AVs) must interact with other road users including pedestrians. Unlike
passive environments, pedestrians are active agents having their own utilities and …

Despite the advances in the autonomous driving domain, autonomous vehicles (AVs) are
still inefficient and limited in terms of cooperating with each other or coordinating with …

In this paper, we study how to learn an appropriate lane changing strategy for autonomous
vehicles by using deep reinforcement learning. We show that the reward of the system …

Personalization of autonomous vehicles (AVs) may significantly increase acceptance. In
particular, we hypothesize that the similarity of an AV's driving style compared to a user's …

It is expected that human-driven vehicles and autonomous vehicles (AVs) will coexist in a
mixed traffic for a long time. To enable AVs to safely and efficiently maneuver in this mixed …

Most methods that attempt to tackle the problem of Autonomous Driving and overtaking
usually try to either directly minimize an objective function or iteratively in a Reinforcement …

The emerging technology enabling autonomy in vehicles has led to a variety of new
problems in transportation networks, such as planning and perception for autonomous …

For robotic vehicles to navigate safely and efficiently in pedestrian-rich environments, it is
important to model subtle human behaviors and navigation rules (eg, passing on the right) …