April 2018
Intermediate to advanced
334 pages
10h 18m
English
In this section, we will discuss a proposed deep reinforcement learning framework for autonomous driving given by El Sallab et. al 2017 (https://arxiv.org/pdf/1704.02532.pdf).
The following is an architecture of end-to-end deep neural networks:

Let's discuss the preceding architecture in detail. Inputs in this case are the aggregation of states of the environment over multiple timesteps.