Book Image

Keras Reinforcement Learning Projects

By : Giuseppe Ciaburro
Book Image

Keras Reinforcement Learning Projects

By: Giuseppe Ciaburro

Overview of this book

Reinforcement learning has evolved a lot in the last couple of years and proven to be a successful technique in building smart and intelligent AI networks. Keras Reinforcement Learning Projects installs human-level performance into your applications using algorithms and techniques of reinforcement learning, coupled with Keras, a faster experimental library. The book begins with getting you up and running with the concepts of reinforcement learning using Keras. You’ll learn how to simulate a random walk using Markov chains and select the best portfolio using dynamic programming (DP) and Python. You’ll also explore projects such as forecasting stock prices using Monte Carlo methods, delivering vehicle routing application using Temporal Distance (TD) learning algorithms, and balancing a Rotating Mechanical System using Markov decision processes. Once you’ve understood the basics, you’ll move on to Modeling of a Segway, running a robot control system using deep reinforcement learning, and building a handwritten digit recognition model in Python using an image dataset. Finally, you’ll excel in playing the board game Go with the help of Q-Learning and reinforcement learning algorithms. By the end of this book, you’ll not only have developed hands-on training on concepts, algorithms, and techniques of reinforcement learning but also be all set to explore the world of AI.
Table of Contents (13 chapters)

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...