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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

Finding the shortest path

So far, we have only dealt with creating a graph by defining the list of vertices and the connections between them. But, we haven't said anything about the characteristics of these connections. We can state that it is precisely the characteristics of the connections that have made the graphs particularly useful for the representation of a very large number of problems.

Regarding the edge, we have only distinguished between undirected and directed edges. We can add to them another type: weighted edges. Directed or undirected edges can also have a weight or a quantitative value associated with them. This property can be used to define characteristics such as distances between the nodes of a road network, the costs necessary to find a specific resource, the capacity of a line, and the energy required to move between locations along a route. Edges can...

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