An Introduction to Deep Reinforcement Learning
eBook - ePub

An Introduction to Deep Reinforcement Learning

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

An Introduction to Deep Reinforcement Learning

About this book

The current era of artificial intelligence and machine learning (AIML) tools has transformed the workings of vast swaths of our private, working, and social lives beyond recognition. It has been found that these tools can solve many problems in better and faster ways compared to humans. AIML tools allow machines and related systems to reason and infer almost like humans, and this has deep intellectual and philosophical ramifications as well. The areas of machine learning are broadly classified into supervised, unsupervised, and deep reinforcement learning (DRL). The last one comes closest to how humans reason, and various innovations in this area have many useful applications.

This book covers most of the areas of DRL, with a special focus on its mathematical and algorithmic foundations. Undergraduate and early graduate students should find it to be a good guide to the fast-developing areas of DRL and its myriad applications in both technical and social contexts.

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Yes, you can access An Introduction to Deep Reinforcement Learning by Vinod K. Mishra in PDF and/or ePUB format, as well as other popular books in Computer Science & Business Intelligence. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Prologue
  7. Chapter 1 Introduction
  8. Chapter 2 Survey of ML
  9. Chapter 3 Basic Mathematics behind Deep Reinforcement Learning
  10. Chapter 4 Single-Agent Algorithms
  11. Chapter 5 Multi-Agent RL (MARL) Algorithms
  12. Chapter 6 Recent Developments in DRL
  13. Chapter 7 Applications of RL
  14. Epilogue
  15. Acknowledgments
  16. Bibliography
  17. Index