… proposed car-following method based on reinforcement learning for autonomous vehicles
decision-… By studying the car-following model, analyzing the following behaviors of drivers and …

… a car-following model for autonomous vehicles based on the reinforcement learning method
… This study applies the deep reinforcement learning method to study the safe velocity control …

… The desired, expert-like driving behavior of the autonomous vehicle is obtained as follows: …
optimal driving strategy for the autonomous vehicle using reinforcement learning techniques. …

… decision making is an important aspect of autonomous vehicles (AV). In this work, we … on
hierarchical reinforcement learning (HRL) which is capable of performing autonomous vehicle …

… The Behavioral layer is the strategic level of autonomous driving. With the given way-points,
the agent decides on the short term policy, by taking into consideration the local road …

… , vehicle control, social behavior, and communication. Our survey focuses solely on deep
learning and reinforcement learning … (shallow) shallow based techniques, a subject that has …

… In summary, applying the deep controller leads to a very safe and pleasant driving behavior
of the research vehicle in all cases. Hence, we have shown that the presented method is …

… such as behavior cloning, imitation learning, inverse reinforcement … of reinforcement learning,
the taxonomy of tasks where RL is a promising solution especially in the domains of driving …

… Study Institute of Tsinghua University bought a dynamic virtual driving test-bed from Japan,
which is now being used for a number of studies on driver's driving behaviors. Though there …

… accidents and improve driving efficiency. In this work, a deep reinforcement learning (DRL)-…
autonomous vehicles to address the overtaking behaviors on the highway. First, a highway …