Hilpisch, Yves J.
Reinforcement Learning for Finance: A Python-Based Introduction
- ISBN 13:
- 9781098169145
- author:
- Hilpisch, Yves J.
- format:
- Paperback
- publisher:
- O'Reilly Media
- language:
- English
- Publication Year:
- 2024
- Pages:
- 212
- Dimensions:
- 23.3 x 17.8 x 1.1 centimetres (0
- Genre:
- Computers, Programming, Python,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Reinforcement Learning for Finance: A Python-Based Introduction provides an in-depth exploration of reinforcement learning methods in finance. Author Yves Hilpisch, founder and CEO of The Python Quants, offers a concise background in the field, focusing on the implementation of algorithms in self-contained Python code. This book covers key topics such as deep Q-learning, Python implementations of RL algorithms, and their application to important financial problems like algorithmic trading, dynamic hedging, and dynamic asset allocation. It is an ideal reference for practitioners, traders, portfolio managers, strategists, and analysts looking to apply reinforcement learning methods in finance. With its focus on practical implementation and real-world applications, this book is a valuable resource for anyone working with RL for finance.
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