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  • The Reinforcement Learning Workshop
  • Alessandro Palmas Emanuele Ghelfi Dr. Alexandra Galina Petre Mayur Kulkarni Anand N.S. Quan Nguyen Aritra Sen Anthony So Saikat Basak
  • 74字
  • 2021-06-11 18:37:49

5. Dynamic Programming

Overview

In this chapter, you will be introduced to the driving principles of dynamic programming. You will be introduced to the classic coin-change problem as an application of dynamic programming. Furthermore, you will learn how to implement policy evaluation, policy iteration, and value iteration and learn the differences between them. By the end of the chapter, you will be able to implement dynamic programming to solve problems in Reinforcement Learning (RL).

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