Reinforcement Learning In The Ridesharing Marketplace

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Reinforcement Learning In The Ridesharing Marketplace

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Author : Zhiwei (Tony) Qin
language : en
Publisher: Springer Nature
Release Date : 2024-08-03

Reinforcement Learning In The Ridesharing Marketplace written by Zhiwei (Tony) Qin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-03 with Mathematics categories.

This book provides a comprehensive overview of reinforcement learning for ridesharing applications. The authors first lay out the fundamentals of the ridesharing system architectures and review the basics of reinforcement learning, including the major applicable algorithms. The book describes the research problems associated with the various aspects of a ridesharing system and discusses the existing reinforcement learning approaches for solving them. The authors survey the existing research on each problem, and then examine specific case studies. The book also includes a review of two of methods closely related to reinforcement learning: approximate dynamic programming and model-predictive control.

Reinforcement Learning

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Author : Richard S. Sutton
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Reinforcement Learning written by Richard S. Sutton and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.

Reinforcement learning is the learning of a mapping from situations to actions so as to maximize a scalar reward or reinforcement signal. The learner is not told which action to take, as in most forms of machine learning, but instead must discover which actions yield the highest reward by trying them. In the most interesting and challenging cases, actions may affect not only the immediate reward, but also the next situation, and through that all subsequent rewards. These two characteristics -- trial-and-error search and delayed reward -- are the most important distinguishing features of reinforcement learning. Reinforcement learning is both a new and a very old topic in AI. The term appears to have been coined by Minsk (1961), and independently in control theory by Walz and Fu (1965). The earliest machine learning research now viewed as directly relevant was Samuel's (1959) checker player, which used temporal-difference learning to manage delayed reward much as it is used today. Of course learning and reinforcement have been studied in psychology for almost a century, and that work has had a very strong impact on the AI/engineering work. One could in fact consider all of reinforcement learning to be simply the reverse engineering of certain psychological learning processes (e.g. operant conditioning and secondary reinforcement). Reinforcement Learning is an edited volume of original research, comprising seven invited contributions by leading researchers.

Pricing And Revenue Optimization

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Author : Robert Phillips
language : en
Publisher: Stanford University Press
Release Date : 2005-08-05

Pricing And Revenue Optimization written by Robert Phillips and has been published by Stanford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-08-05 with Business & Economics categories.

This is the first comprehensive introduction to the concepts, theories, and applications of pricing and revenue optimization. From the initial success of "yield management" in the commercial airline industry down to more recent successes of markdown management and dynamic pricing, the application of mathematical analysis to optimize pricing has become increasingly important across many different industries. But, since pricing and revenue optimization has involved the use of sophisticated mathematical techniques, the topic has remained largely inaccessible to students and the typical manager. With methods proven in the MBA courses taught by the author at Columbia and Stanford Business Schools, this book presents the basic concepts of pricing and revenue optimization in a form accessible to MBA students, MS students, and advanced undergraduates. In addition, managers will find the practical approach to the issue of pricing and revenue optimization invaluable. Solutions to the end-of-chapter exercises are available to instructors who are using this book in their courses. For access to the solutions manual, please contact [email protected].

Machine Learning And Security

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Author : Clarence Chio
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2018-01-26

Machine Learning And Security written by Clarence Chio and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-26 with Computers categories.

Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions

Artificial Intelligence In Society

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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2019-06-11

Artificial Intelligence In Society written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with categories.

The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.

From Online Platforms To Digital Monopolies

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Author : Jonas C.L. Valente
language : en
Publisher: BRILL
Release Date : 2021-08-30

From Online Platforms To Digital Monopolies written by Jonas C.L. Valente and has been published by BRILL this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-30 with Social Science categories.

In From Online Platforms to Digital Monopolies: Technology, Information and Power Jonas C.L. Valente discusses the rise of platforms as key players in different social activities, from economy to culture and politics. These companies have a daily presence in the lives of the majority of the world population, from social interactions to digital payments and transactions. They are gaining a central role in neoliberal capitalism, shaping contemporary sociability. The book shows how these platforms work and identifies the hidden interests behind the commercial strategies that guide the development of services offered to Internet users. It takes the specific cases of Google and Facebook and presents its historical development, illustrating how these companies turned into major players in our times.

Ethereum Smart Contract Development

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Author : Mayukh Mukhopadhyay
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-02-23

Ethereum Smart Contract Development written by Mayukh Mukhopadhyay and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-23 with Computers categories.

Become an Ethereum Blockchain developer using a blend of concepts and hands-on implementations Key Features Understand the Ethereum Ecosystem and its differences from its rich cousin Bitcoin Explore the Solidity programming language and smart contract optimizations Get a developer’s perspective of Blockchain-as-a-technology with exposure to common challenges faced while building decentralized applications Book Description Ethereum is a public, blockchain-based distributed computing platform featuring smart contract functionality. This book is your one-stop guide to blockchain and Ethereum smart contract development. We start by introducing you to the basics of blockchain. You'll learn about hash functions, Merkle trees, forking, mining, and much more. Then you'll learn about Ethereum and smart contracts, and we'll cover Ethereum virtual machine (EVM) in detail. Next, you'll get acquainted with DApps and DAOs and see how they work. We'll also delve into the mechanisms of advanced smart contracts, taking a practical approach. You'll also learn how to develop your own cryptocurrency from scratch in order to understand the business behind ICO. Further on, you'll get to know the key concepts of the Solidity programming language, enabling you to build decentralized blockchain-based applications. We'll also look at enterprise use cases, where you'll build a decentralized microblogging site. At the end of this book, we discuss blockchain-as-a-service, the dark web marketplace, and various advanced topics so you can get well versed with the blockchain principles and ecosystem. What you will learn Know how to build your own smart contracts and cryptocurrencies Understand the Solidity language Find out about data types, control structure, functions, inheritance, mathematical operations, and much more See the various types of forks and discover how they are related to Ethereum Get to know the various concepts of web3.js and its APIs so you can build client-side apps Build a DAO from scratch and acquire basic knowledge of DApps on Ethercast Be guided through the project so you can optimize EVM for smart contracts Build your own decentralized applications (DApps) by taking a practical approach Who this book is for If you want to know the ins and outs of the Ethereum network and build your own decentralized applications, then this book is what you need! This book is for anyone who is interested in blockchain and wants to become an Ethereum developer. It’s ideal for existing Ethereum developers who want to develop Ethereum using smart contracts. Basic knowledge of cryptography is expected but is not mandatory.

Demand Prediction In Retail

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Author : Maxime C. Cohen
language : en
Publisher: Springer Nature
Release Date : 2022-01-01

Demand Prediction In Retail written by Maxime C. Cohen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Business & Economics categories.

From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers. Each step is illustrated with the relevant code and implementation details to demystify how historical data can be leveraged to predict future demand. The tools and methods presented can be applied to most retail settings, both online and brick-and-mortar, such as fashion, electronics, groceries, and furniture. This book is intended to help students in business analytics and data scientists better master how to leverage data for predicting demand in retail applications. It can also be used as a guide for supply chain practitioners who are interested in predicting demand. It enables readers to understand how to leverage data to predict future demand, how to clean and pre-process the data to make it suitable for predictive analytics, what the common caveats are in terms of implementation and how to assess prediction accuracy.

Ceo S Sudden Proposal

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Author : Qin Ye
language : en
Publisher: Funstory
Release Date : 2019-11-28

Ceo S Sudden Proposal written by Qin Ye and has been published by Funstory this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-28 with Fiction categories.

It has been adapted into comic:CEO's Sudden Proposal / Flash Marriage Deep LoveShe didn't understand why he took her to get married at first sight. She was just friendly to his daughter at the hospital, but she did not expect that his daughter haunted her to be her mother. It's only the first day of their meeting!She thought he married her only because of his daughter, but in fact, he was deeply attracted by her kindness and simplicity, and he loved her deeply.For the rest of her life, Will she love him like he love her?☆About the Author☆Qin Ye is an online novelist. Her work CEO's Sudden Proposal is at the top of the Chinese online novel list, has gained even more popularity due to her popularity and favorable comments. CEO's Sudden Proposal has ups and downs plots, which are really exciting. Both the plots and writing of this novel are remarkable.

Competition Law For The Digital Economy

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Author : Björn Lundqvist
language : en
Publisher: Edward Elgar Publishing
Release Date : 2019-12-27

Competition Law For The Digital Economy written by Björn Lundqvist and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-27 with Law categories.

The digital economy is gradually gaining traction through a variety of recent technological developments, including the introduction of the Internet of things, artificial intelligence and markets for data. This innovative book contains contributions from leading competition law scholars who map out and investigate the anti-competitive effects that are developing in the digital economy.