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Title
Deep Reinforcement Learning : Frontiers of Artificial Intelligence / Mohit Sewak.
ISBN
9789811382857 (electronic book)
9811382859 (electronic book)
9811382840
9789811382840
Published
Singapore : Springer, [2019]
Language
English
Description
1 online resource (xvii, 203 pages) : illustrations
Item Number
10.1007/978-981-13-8
Call Number
Q325.6 .S49 2019
Dewey Decimal Classification
005.11
Summary
This book starts by presenting the basics of reinforcement learning using highly intuitive and easy-to-understand examples and applications, and then introduces the cutting-edge research advances that make reinforcement learning capable of out-performing most state-of-art systems, and even humans in a number of applications. The book not only equips readers with an understanding of multiple advanced and innovative algorithms, but also prepares them to implement systems such as those created by Google Deep Mind in actual code. This book is intended for readers who want to both understand and apply advanced concepts in a field that combines the best of two worlds - deep learning and reinforcement learning - to tap the potential of 'advanced artificial intelligence for creating real-world applications and game-winning algorithms.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Description based on online resource; title from digital title page (viewed on August 05, 2019).
Available in Other Form
Print version: 9789811382840
Introduction to Reinforcement Learning
Mathematical and Algorithmic understanding of Reinforcement Learning
Coding the Environment and MDP Solution
Temporal Difference Learning, SARSA, and Q Learning
Q Learning in Code
Introduction to Deep Learning
Implementation Resources
Deep Q Network (DQN), Double DQN and Dueling DQN
Double DQN in Code
Policy-Based Reinforcement Learning Approaches
Actor-Critic Models & the A3C
A3C in Code
Deterministic Policy Gradient and the DDPG
DDPG in Code.
