Artificial intelligence (AI) applications bring agility and modernity to our lives, and the reinforcement learning technique is at the forefront of this technology. It can outperform human competitors in strategy games, creative compositing, and autonomous movement. Moreover, it is just starting to transform our civilization. This book provides an introduction to AI, specifies machine learning techniques, and explores various aspects of reinforcement learning, approaching the latest concepts in a didactic and illustrated manner. It is aimed at students who want to be part of technological advances and professors engaged in the development of innovative applications, helping with academic and industrial challenges. Understanding the Fundamentals of Reinforcement Learning will allow you to: Understand essential AI concepts Gain professional experience Interpret sequential decision problems and solve them with reinforcement learning Learn how the Q-Learning algorithm works Practice with commented Python code Find advantageous directions
Author(s): Rafael Ris-Ala
Publisher: Springer
Year: 2023
Language: English
Pages: 103
Preface
Acknowledgments
Contents
About the Author
Abbreviations
Chapter 1: Introduction
1.1 Artificial Intelligence
1.2 Machine Learning
1.3 Reinforcement Learning
1.4 History
References
Chapter 2: Concepts
2.1 Markov Chain
2.2 Markov Decision Process
2.3 Bellman Equation
2.4 Algorithm Approaches
References
Chapter 3: Q-Learning Algorithm
3.1 Operation of the Algorithm
3.2 Construction of the Q-Table
References
Chapter 4: Development Tools
4.1 OpenAI Gym
4.2 TF-Agents
4.3 Reinforcement Learning Toolbox
4.4 Keras
4.5 Data Sources
References
Chapter 5: Practice with Code
5.1 Getting to Know the Environment
5.2 Taking Random Actions
5.3 Training with the Algorithm
5.4 Testing the Q-Table
5.5 Testing the Trained Agent
References
Chapter 6: Recent Applications and Future Research
6.1 Artificial General Intelligence
6.2 Board Games
6.3 Digital Games
6.4 Robotics
6.5 Education
6.6 Quantum Mechanics
6.7 Mathematics
References
Index
