Reinforcement learning : theory / Chirag Shah.

Format:

Book

Author/Creator:

Shah, Chirag, author.

Language:

English

Subjects (All):

Reinforcement learning.

Physical Description:

1 online resource

Edition:

First edition.

Other Title:

Reinforcement Learning

Place of Publication:

[Place of publication not identified] : SAGE Publications Ltd., 2022.

Summary:

Dr. Chirag Shah, PhD, Associate Professor at the Information School, University of Washington, explains the theory behind the reinforcement learning algorithm in machine learning using the example of navigating a maze, including the four elements required (states, actions, mapping, and policy) and how these elements interact.

Contents:

Chirag Shah Discusses When To Use Reinforcement Learning; Chirag Shah Discusses the Elements of Reinforcement Learning and How They Interact; Chirag Shah Navigates a Maze to Illustrate Reinforcement in Machine Learning; Chirag Shah Shares Key Takeaways for Reinforcement in Machine Learning.

Notes:

Description based on: online resource; title from PDF information screen (Worldcat, viewed March 29, 2023).

ISBN:

1-5297-9852-3

9781529798524