Summary

Reinforcement learning has in recent years seen a lot of progress, to summarize all of that in a single chapter is not possible. However, in this chapter we focused on the recent successful RL algorithms. The chapter started by introducing the important concepts in the RL field, its challenges, and the solutions to move forward. Next, we delved into two important RL algorithms: the DQN and DDPG algorithms. Toward the end of this chapter the book covered the important topics in the field of deep learning. In the next chapter, we will move into applying what we have learned to production.