No human drives a car in a vacuum; she/he must negotiate with other road users to achieve
their goals in social traffic scenes. A rational human driver can interact with other road users …

Autonomous driving (AD) agents generate driving policies based on online perception
results, which are obtained at multiple levels of abstraction, eg, behavior planning, motion …

In this article, we propose a nonlinear receding horizon game-theoretic planner for
autonomous cars in competitive scenarios with other cars. The online planner is specifically …

In this paper, the problem of decision making for autonomous vehicles changing lanes is
addressed by formulating multiple games in normal form for pairs of agents. This formulation …

This study presents a methodology for optimal control of connected automated vehicles
(CAVs) in freeway segments with a lane drop. Lane drops can create bottlenecks with a …

We propose a nonlinear receding horizon gametheoretic planner for autonomous cars in
competitive scenarios with other cars. The online planner is specifically formulated for a two …

The emerging technology of vehicle-to-vehicle (V2V) communication, vehicle-to-
infrastructure (V2I) communication makes it possible for vehicles to sense the environment …

In this paper, we consider a two-player racing game, where an autonomous ego vehicle has
to be controlled to race against an opponent vehicle, which is either autonomous or human …

We consider solving a cooperative multi-robot object manipulation task using reinforcement
learning (RL). We propose two distributed multi-agent RL approaches: distributed …

A new game theory based framework is proposed for path tracking and stabilization of
autonomous vehicles. In the developed framework, vehicle body and corner traction control …