Summary

In this chapter, we touched on the main concepts and challenges related to one of the biggest AI problems, that is, autonomous driving. We learned about the challenges posed by the problem and also learned the current approaches being used to make autonomous driving successful. Moreover, we went through an overview of different sub-tasks of the process, starting from receiving sensory inputs to planning. We also looked at a bit about the famous DeepTraffic simulation where you can test your neural networks to learn efficient movement patterns in heavy traffic. Autonomous driving is itself a vast evolving research topic and covering all of them is beyond the scope of this book. 

In the next chapter, we will study another evolving research hotspot, using AI in finance, where we will learn how reinforcement can help in financial portfolio management.