| Description |
1 online resource (280 pages) |
| Contents |
Cover; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Overview of Keras Reinforcement Learning; Basic concepts of machine learning; Discovering the different types of machine learning; Supervised learning; Unsupervised learning; Reinforcement learning; Building machine learning models step by step; Getting started with reinforcement learning; Agent-environment interface; Markov Decision Process; Discounted cumulative reward; Exploration versus exploitation; Reinforcement learning algorithms; Dynamic Programming; Monte Carlo methods. |
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Temporal difference learningSARSA; Q-learning; Deep Q-learning; Summary; Chapter 2: Simulating Random Walks; Random walks; One-dimensional random walk; Simulating 1D random walk; Markov chains; Stochastic process; Probability calculation; Markov chain definition; Transition matrix; Transition diagram; Weather forecasting with Markov chains; Generating pseudorandom text with Markov chains; Summary; Chapter 3: Optimal Portfolio Selection; Dynamic Programming; Divide and conquer versus Dynamic Programming; Memoization; Dynamic Programming in reinforcement-learning applications. |
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Optimizing a financial portfolioOptimization techniques; Solving the knapsack problem using Dynamic Programming; Different approaches to the problem; Brute force; Greedy algorithms; Dynamic Programming; Summary; Chapter 4: Forecasting Stock Market Prices; Monte Carlo methods; Historical background; Basic concepts of the Monte Carlo simulation; Monte Carlo applications; Numerical integration using the Monte Carlo method; Monte Carlo for prediction and control; Amazon stock price prediction using Python; Exploratory analysis; The Geometric Brownian motion model; Monte Carlo simulation; Summary. |
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Chapter 5: Delivery Vehicle Routing ApplicationTemporal difference learning; SARSA; Q-learning; Basics of graph theory; The adjacency matrix; Adjacency lists; Graphs as data structures in Python; Graphs using the NetworkX package; Finding the shortest path; The Dijkstra algorithm; The Dijkstra algorithm using the NetworkX package; The Google Maps algorithm; The Vehicle Routing Problem; Summary; Chapter 6: Continuous Balancing of a Rotating Mechanical System; Neural network basic concepts; The Keras neural network model; Classifying breast cancer using the neural network. |
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Deep reinforcement learningThe Keras-RL package; Continuous control with deep reinforcement learning; Summary; Chapter 7: Dynamic Modeling of a Segway as an Inverted Pendulum System; How Segways work; System modeling basics; OpenAI Gym; OpenAI Gym methods; OpenAI Gym installation; The CartPole system; Q-learning solution; Deep Q-learning solution; Summary; Chapter 8: Robot Control System Using Deep Reinforcement Learning; Robot control; Robotics overview; Robot evolution; First-generation robots; Second-generation robots; Third-generation robots; Fourth-generation robots; Robot autonomy. |
| Note |
Robot mobility. |
| Summary |
Keras Reinforcement Learning Projects book teaches you essential concept, techniques and, models of reinforcement learning using best real-world demonstrations. You will explore popular algorithms such as Markov decision process, Monte Carlo, Q-learning making you equipped with complex statistics in various projects with the help of Keras. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Machine learning.
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Neural networks.
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Mathematical theory of computation. |
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Machine learning. |
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Neural networks & fuzzy systems. |
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Artificial intelligence. |
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Computers -- Machine Theory. |
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Computers -- Neural Networks. |
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Computers -- Intelligence (AI) & Semantics. |
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Machine learning |
| Other Form: |
Print version: Ciaburro, Giuseppe. Keras Reinforcement Learning Projects : 9 Projects Exploring Popular Reinforcement Learning Techniques to Build Self-Learning Agents. Birmingham : Packt Publishing Ltd, ©2018 9781789342093 |
| ISBN |
9781789347975 (electronic bk.) |
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1789347971 (electronic bk.) |
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9781789342093 print |
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