I. Introduction  
II. Preliminaries of Reinforcement Learning  
III. Preliminaries of Imitation Learning  
IV. Architectures of DRL/DIL Integrated AD Systems  
V. Task-driven Methods  
VI. Problem-driven Methods  
VII. Discussion  
VIII. Conclusions