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Keras Reinforcement Learning Projects

You're reading from   Keras Reinforcement Learning Projects 9 projects exploring popular reinforcement learning techniques to build self-learning agents

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789342093
Length 288 pages
Edition 1st Edition
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Author (1):
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Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
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Table of Contents (13) Chapters Close

Preface 1. Overview of Keras Reinforcement Learning FREE CHAPTER 2. Simulating Random Walks 3. Optimal Portfolio Selection 4. Forecasting Stock Market Prices 5. Delivery Vehicle Routing Application 6. Continuous Balancing of a Rotating Mechanical System 7. Dynamic Modeling of a Segway as an Inverted Pendulum System 8. Robot Control System Using Deep Reinforcement Learning 9. Handwritten Digit Recognizer 10. Playing the Board Game Go 11. What's Next? 12. Other Books You May Enjoy

Optimizing a financial portfolio

The management of financial portfolios is an activity that aims to combine financial products in a manner that best represents the investor's needs. This requires an overall assessment of various characteristics, such as risk appetite, expected returns, and investor consumption, as well as an estimate of future returns and risk.

In order to optimize a financial portfolio, we start by measuring the yield and risk of the products available. The risk-return variables can be considered two sides of the same coin, since a certain level of risk will correspond to a given return. The return can be defined as the sum of the results produced by the investment in relation to the capital employed, while the concept of risk can be translated into the degree of variability of returns associated with a given financial instrument.

The following diagram shows...

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