Keras Reinforcement Learning Projects
by Giuseppe Ciaburro, Sudharsan Ravichandiran, Suriyadeepan Ramamoorthy
What this book covers
Chapter 1, Overview of Keras Reinforcement Learning, will get you ready to enjoy reinforcement learning using Keras, looking at topics ranging from the basic concepts right to the building of models. By the end of this chapter, you will be ready to dive into working on real-world projects.
Chapter 2, Simulating Random Walks, will have you simulate a random walk using Markov chains through a Python code implementation.
Chapter 3, Optimal Portfolio Selection, explores how to select the optimal portfolio using dynamic programming through a Python code implementation.
Chapter 4, Forecasting Stock Market Prices, guides you in using the Monte Carlo methods to forecast stock market prices.
Chapter 5, Delivery Vehicle Routing ...
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