July 2018
Intermediate to advanced
254 pages
8h 12m
English
This chapter provides a concise explanation of the basic terminology and concepts in reinforcement learning. It will give you a good understanding of the basic reinforcement learning framework for developing artificial intelligent agents. This chapter will also introduce deep reinforcement learning and provide you with a flavor of the types of advanced problems the algorithms enable you to solve. You will find mathematical expressions and equations used in quite a few places in this chapter. Although there's enough theory behind reinforcement learning and deep reinforcement learning to fill a whole book, the key concepts that are useful for practical implementation are discussed in this ...
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