This article proposes a novel receding-horizon reinforcement learning approach for time-delayed human–machine shared control of intelligent vehicles. First, we build a multikernel-based data-driven ...

However, finding the optimal congestion control model is an important yet challenging task. In this paper, we examine the supervised and unsupervised machine learning approaches to the task of ...