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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 2. Simulating Random Walks FREE CHAPTER 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

Forecasting Stock Market Prices

Humans have always tried to predict the future. Forecasting has been, therefore, one of the most studied techniques over time. Forecasts cover several fields: weather forecasts, economic and political events, sports results, and more. Because we try to predict so many different events, there are a variety of ways in which predictions can be developed. Monte Carlo methods for estimating the value function and discovering excellent policies do not require the presence of a model of the environment. They are able to learn through the use of an agent's experience alone or from samples of state sequences, actions, and rewards obtained from the interactions between agent and environment. The experience can be acquired by the agent in line with the learning process, or it can be emulated by a previously populated dataset. Stock prices change on a...

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