REINFORCEMENT LEARNING IN FINANCE. AN INTRODUCTION WITH PYTHON

Discover the fascinating world of reinforcement learning and its applications in finance! This book is an ideal introduction for anyone who wants to understand how algorithms such as Deep Q-Learning (DQL) are revolutionizing the financial industry. Learn practical examples and learn how to implement these powerful tools in Python.

• Understanding reinforcement learning: Learn the basics and advanced techniques of reinforcement learning.
• DQL algorithm: Learn how to implement and apply the Deep Q-Learning algorithm in practice.
• Actor-critic algorithm: Gain knowledge about the actor-critic algorithm and its applications.
• Implementation in Python: Discover practical examples of implementing algorithms in Python.
• Solving financial problems: Learn how to use reinforcement learning to solve problems of algorithmic trading, dynamic hedging and dynamic allocation of funds into assets.
• Practical examples: Find many interesting examples ready for self-modification and testing.

Reinforcement learning, especially the Deep Q-Learning (DQL) algorithm, is gaining popularity in the financial industry due to its ability to adapt to changing decision-making conditions. These algorithms often outperform human capabilities, making them extremely attractive tools for scientists and practitioners.

This book bridges the gap between theory and practice, offering clear explanations and detailed code in Python. Thanks to it, you will understand how reinforcement learning can be used to solve real financial problems, such as algorithmic trading, dynamic hedging and dynamic asset allocation. Here you will also find many examples that you can modify and test yourself, which will allow you to gain practical experience.

Helion is a renowned publishing house specializing in IT and business literature. For years, it has been providing readers with high-quality publications that help them develop their skills and knowledge. Helion books are valued for their reliability, practical approach and topicality. By choosing a book from Helion Publishing, you can be sure that you are receiving a proven and valuable source of knowledge.

Technical parameters:

Edition: 1

Pages: 184

Format: 166x238 mm

Year of publication: 2025

Binding: paperback

Publisher: Helion