Grokking Deep Reinforcement Learning

5 Evaluating agents’ behaviors

In this chapter

• You will learn about estimating policies when learning from feedback that is simultaneously sequential and evaluative.
• You will develop algorithms for evaluating policies in reinforcement learning environments when the transition and reward functions are unknown.
• You will write code for estimating the value of policies in environments in which the full reinforcement learning problem is on display.

I conceive that the great part of the miseries of mankind are brought upon them by false estimates they have made of the value of things.

— Benjamin Franklin Founding Father of the United States an author, politician, inventor, and a civic activist

You know how challenging it is to balance immediate ...