… We show that during the training of deep reinforcement … on-road vehicles that may influence
our driving behavior. This can … First, we propose a hierarchical deep reinforcement learning …

… This paper presents an initial exploration of how deep reinforcement learning can be used
to address the policy composition problem. We present results in a simulated driving domain …

… a deep reinforcement learning (DRL) agent that yields consistent performance in stochastic
highway driving … We will show that dividing the autonomous driving problem into a multilayer …

… Generally speaking, The flat deep reinforcement learning is often not able to deal with such
tasks. There are some applications of deep reinforcement learning on autonomous driving [8]…

… End-to-end 291 driving in a realistic racing game with deep reinforcement learning. In …
Deep rein- 294 forcement learning framework for autonomous driving. Electronic Imaging, …

… , “Attention-based hierarchical deep reinforcement learning for lane change behaviors in
autonomous driving,” in … Tomizuka, “Deep hierarchical reinforcement learning for autonomous …

… for the autonomous car, and the object detection, which provides important dynamic
information of driving scenes for the subsequent deep reinforcement learning control of intelligent …

… Fujimura, “Navigating occluded intersections with autonomous vehicles using deep
reinforcement learning,” in 2018 IEEE International Conference on Robotics and Automation (ICRA), …

… deep reinforcement learning with Monte Carlo sampling to achieve tactical decision making
for autonomous vehicles… safety of model-based reinforcement learning with Value estimation …

… self-navigation. Researchers are increasingly applying hierarchical reinforcement learning
to autonomous driving tasks … This study proposes a novel hierarchical reinforcement learning …