Reinforcement Learning, second edition

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Author :
Publisher : MIT Press
ISBN 13 : 0262352702
Total Pages : 549 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Reinforcement Learning, second edition by : Richard S. Sutton

Download or read book Reinforcement Learning, second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.

Artificial Intelligence XXXVI

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Author :
Publisher : Springer Nature
ISBN 13 : 3030348857
Total Pages : 500 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Artificial Intelligence XXXVI by : Max Bramer

Download or read book Artificial Intelligence XXXVI written by Max Bramer and published by Springer Nature. This book was released on 2019-12-09 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 39th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2019, held in Cambridge, UK, in December 2019. The 29 full papers and 14 short papers presented in this volume were carefully reviewed and selected from 49 submissions. The volume includes technical papers presenting new and innovative developments in the field as well as application papers presenting innovative applications of AI techniques in a number of subject domains. The papers are organized in the following topical sections: machine learning; knowledge discovery and data mining; agents, knowledge acquisition and ontologies; medical applications; applications of evolutionary algorithms; machine learning for time series data; applications of machine learning; and knowledge acquisition.

Efficient Reinforcement Learning Using Gaussian Processes

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Author :
Publisher : KIT Scientific Publishing
ISBN 13 : 3866445695
Total Pages : 226 pages
Book Rating : 4.8/5 (664 download)

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Book Synopsis Efficient Reinforcement Learning Using Gaussian Processes by : Marc Peter Deisenroth

Download or read book Efficient Reinforcement Learning Using Gaussian Processes written by Marc Peter Deisenroth and published by KIT Scientific Publishing. This book was released on 2010 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines Gaussian processes in both model-based reinforcement learning (RL) and inference in nonlinear dynamic systems.First, we introduce PILCO, a fully Bayesian approach for efficient RL in continuous-valued state and action spaces when no expert knowledge is available. PILCO takes model uncertainties consistently into account during long-term planning to reduce model bias. Second, we propose principled algorithms for robust filtering and smoothing in GP dynamic systems.

Applying Reinforcement Learning on Real-World Data with Practical Examples in Python

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Author :
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1636393454
Total Pages : 109 pages
Book Rating : 4.6/5 (363 download)

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Book Synopsis Applying Reinforcement Learning on Real-World Data with Practical Examples in Python by : Philip Osborne

Download or read book Applying Reinforcement Learning on Real-World Data with Practical Examples in Python written by Philip Osborne and published by Morgan & Claypool Publishers. This book was released on 2022-05-20 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reinforcement learning is a powerful tool in artificial intelligence in which virtual or physical agents learn to optimize their decision making to achieve long-term goals. In some cases, this machine learning approach can save programmers time, outperform existing controllers, reach super-human performance, and continually adapt to changing conditions. It has shown human level performance on a number of tasks (REF) and the methodology for automation in robotics and self-driving cars (REF). This book argues that these successes show reinforcement learning can be adopted successfully in many different situations, including robot control, stock trading, supply chain optimization, and plant control. However, reinforcement learning has traditionally been limited to applications in virtual environments or simulations in which the setup is already provided. Furthermore, experimentation may be completed for an almost limitless number of attempts risk-free. In many real-life tasks, applying reinforcement learning is not as simple as (1) data is not in the correct form for reinforcement learning; (2) data is scarce, and (3) automation has limitations in the real-world. Therefore, this book is written to help academics, domain specialists, and data enthusiast alike to understand the basic principles of applying reinforcement learning to real-world problems. This is achieved by focusing on the process of taking practical examples and modeling standard data into the correct form required to then apply basic agents. To further assist readers gain a deep and grounded understanding of the approaches, the book shows hand-calculated examples in full and then how this can be achieved in a more automated manner with code. For decision makers who are interested in reinforcement learning as a solution but are not proficient, the book includes simple, non-technical examples in the introduction and case studies section. These provide context of what reinforcement learning offer but also the challenges and risks associated with applying it in practice. Specifically, these sections illustrate the differences between reinforcement learning and other machine learning approaches as well as how well-known companies have found success using the approach to their problems.

Few-Shot Machine Learning

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Author :
Publisher : HiTeX Press
ISBN 13 :
Total Pages : 221 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis Few-Shot Machine Learning by : Robert Johnson

Download or read book Few-Shot Machine Learning written by Robert Johnson and published by HiTeX Press. This book was released on 2024-10-27 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Few-Shot Machine Learning: Doing More with Less Data" is an illuminating exploration into the cutting-edge techniques that enable machines to learn efficiently from limited data. This book delves deep into the domain of few-shot learning—a revolutionary approach that challenges the traditional dependency on vast datasets. By uncovering the principles and practices that allow models to generalize from minimal examples, it empowers readers to harness the power of artificial intelligence in resource-constrained environments. Carefully structured to provide both theoretical insights and practical guidance, the book navigates through essential paradigms such as meta-learning, transfer learning, and innovative data augmentation strategies. It emphasizes the building blocks needed to understand and apply few-shot learning across various domains, from healthcare diagnostics to real-time analytics. Through real-world applications and case studies, the text not only illustrates the transformative potential of few-shot learning but also prepares practitioners to address prevalent challenges and seize future opportunities in this dynamic field. "Few-Shot Machine Learning: Doing More with Less Data" serves as an indispensable resource for beginners and experienced professionals alike, offering a comprehensive guide to leveraging advanced machine learning techniques. By presenting complex concepts in an accessible manner, it opens new pathways for creativity and innovation in artificial intelligence, making it an essential companion for anyone interested in the future of machine learning and data science.

Intelligent Data Engineering and Automated Learning – IDEAL 2015

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Author :
Publisher : Springer
ISBN 13 : 3319248340
Total Pages : 580 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Intelligent Data Engineering and Automated Learning – IDEAL 2015 by : Konrad Jackowski

Download or read book Intelligent Data Engineering and Automated Learning – IDEAL 2015 written by Konrad Jackowski and published by Springer. This book was released on 2015-10-13 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2015, held in Wroclaw, Poland, in October 2015. The 64 revised full papers presented were carefully reviewed and selected from 127 submissions. These papers provided a valuable collection of recent research outcomes in data engineering and automated learning, from methodologies, frameworks, and techniques to applications. In addition to various topics such as evolutionary algorithms, neural networks, probabilistic modeling, swarm intelligent, multi-objective optimization, and practical applications in regression, classification, clustering, biological data processing, text processing, video analysis, IDEAL 2015 also featured a number of special sessions on several emerging topics such as computational intelligence for optimization of communication networks, discovering knowledge from data, simulation-driven DES-like modeling and performance evaluation, and intelligent applications in real-world problems.

Reinforcement Learning Methods in Speech and Language Technology

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Author :
Publisher : Springer Nature
ISBN 13 : 3031537203
Total Pages : 205 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Reinforcement Learning Methods in Speech and Language Technology by : Baihan Lin

Download or read book Reinforcement Learning Methods in Speech and Language Technology written by Baihan Lin and published by Springer Nature. This book was released on with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning Crash Course for Engineers

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Author :
Publisher : Springer Nature
ISBN 13 : 3031469909
Total Pages : 465 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Machine Learning Crash Course for Engineers by : Eklas Hossain

Download or read book Machine Learning Crash Course for Engineers written by Eklas Hossain and published by Springer Nature. This book was released on 2023-12-26 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​Machine Learning Crash Course for Engineers is a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book focuses on the application aspects of machine learning, progressing from the basics to advanced topics systematically from theory to applications and worked-out Python programming examples. It offers highly illustrated, step-by-step demonstrations that allow readers to implement machine learning models to solve real-world problems. This powerful tutorial is an excellent resource for those who need to acquire a solid foundational understanding of machine learning quickly.

Data Science

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Publisher : Springer
ISBN 13 : 9811063885
Total Pages : 612 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Data Science by : Beiji Zou

Download or read book Data Science written by Beiji Zou and published by Springer. This book was released on 2017-09-15 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set (CCIS 727 and 728) constitutes the refereed proceedings of the Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017 (originally ICYCSEE) held in Changsha, China, in September 2017. The 112 revised full papers presented in these two volumes were carefully reviewed and selected from 987 submissions. The papers cover a wide range of topics related to Basic Theory and Techniques for Data Science including Mathematical Issues in Data Science, Computational Theory for Data Science, Big Data Management and Applications, Data Quality and Data Preparation, Evaluation and Measurement in Data Science, Data Visualization, Big Data Mining and Knowledge Management, Infrastructure for Data Science, Machine Learning for Data Science, Data Security and Privacy, Applications of Data Science, Case Study of Data Science, Multimedia Data Management and Analysis, Data-driven Scientific Research, Data-driven Bioinformatics, D ata-driven Healthcare, Data-driven Management, Data-driven eGovernment, Data-driven Smart City/Planet, Data Marketing and Economics, Social Media and Recommendation Systems, Data-driven Security, Data-driven Business Model Innovation, Social and/or organizational impacts of Data Science.

Intelligent Optimization Techniques for Business Analytics

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Author :
Publisher : IGI Global
ISBN 13 :
Total Pages : 377 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Intelligent Optimization Techniques for Business Analytics by : Bansal, Sanjeev

Download or read book Intelligent Optimization Techniques for Business Analytics written by Bansal, Sanjeev and published by IGI Global. This book was released on 2024-04-15 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, the convergence of cutting-edge algorithms and actionable insights in business is paramount for success. Scholars and practitioners grapple with the dilemma of optimizing data to drive efficiency, innovation, and competitiveness. The formidable challenge of effectively harnessing the immense power of intelligent optimization techniques and business analytics only increases as the volume of data grows exponentially, and the complexities of navigating the intricate landscape of business analytics becomes more daunting. This pressing issue underscores the critical need for a comprehensive solution, and Intelligent Optimization Techniques for Business Analytics is poised to provide much-needed answers. This groundbreaking book offers an all-encompassing solution to the challenges that academic scholars encounter in the pursuit of mastering the interplay between learning algorithms and intelligent optimization techniques for business analytics. Through a wealth of diverse perspectives and expert case studies, it illuminates the path to effectively implementing these advanced systems in real-world business scenarios. It caters not only to the scholarly community but also to industry professionals and policymakers, equipping them with the necessary tools and insights to excel in the realm of data-driven decision-making.

Hybrid Artificial Intelligent Systems

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Publisher : Springer Nature
ISBN 13 : 3031741862
Total Pages : 318 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Hybrid Artificial Intelligent Systems by : Héctor Quintián

Download or read book Hybrid Artificial Intelligent Systems written by Héctor Quintián and published by Springer Nature. This book was released on with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Maritime Technology and Engineering

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Publisher : CRC Press
ISBN 13 : 1040125891
Total Pages : 715 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Advances in Maritime Technology and Engineering by : Carlos Guedes Soares

Download or read book Advances in Maritime Technology and Engineering written by Carlos Guedes Soares and published by CRC Press. This book was released on 2024-05-08 with total page 715 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Maritime Technology and Engineering comprises a collection of the papers presented at the 7th International Conference on Maritime Technology and Engineering (MARTECH 2024) held in Lisbon, Portugal, on 14-16 May 2024. This Conference has evolved from the series of biannual national conferences in Portugal, which have become an international event, reflecting the internationalization of the maritime sector and its activities. MARTECH 2024 is the seventh of this new series of biannual conferences. This book comprises 142 contributions that were reviewed by an International Scientific Committee. Advances in Maritime Technology and Engineering is dedicated to maritime transportation, ports as well as maritime safety and reliability. It further comprises sections dedicated to ship design, cruise ship design, and to the structural aspects of ship design, such as ultimate strength and composites, subsea structures as pipelines, and to ship building and ship repair. The Proceedings in Marine Technology and Ocean Engineering series is dedicated to the publication of proceedings of peer-reviewed international conferences dealing with various aspects of “Marine Technology and Ocean Engineering”. The series includes the proceedings of the following conferences: the International Maritime Association of the Mediterranean (IMAM) conferences, the Marine Structures (MARSTRUCT) conferences, the Renewable Energies Offshore (RENEW) conferences and the Maritime Technology (MARTECH) conferences. The “Marine Technology and Ocean Engineering” series is also open to new conferences that cover topics on the sustainable exploration of marine resources in various fields, such as maritime transport and ports, usage of the ocean including coastal areas, nautical activities, the exploration and exploitation of mineral resources, the protection of the marine environment and is resources, and risk analysis, safety and reliability. The aim of the series is to stimulate advanced education and training through the wide dissemination of the results of scientific research.

Reinforcement Learning - Principles, Concepts and Applications

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Author :
Publisher : MileStone Research Publications
ISBN 13 : 9360130087
Total Pages : 144 pages
Book Rating : 4.3/5 (61 download)

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Book Synopsis Reinforcement Learning - Principles, Concepts and Applications by : Bhavatarini N

Download or read book Reinforcement Learning - Principles, Concepts and Applications written by Bhavatarini N and published by MileStone Research Publications. This book was released on 2024-03-25 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reinforcement learning (RL) is a subfield of machine learning that deals with how an agent should learn to take actions in an environment to maximize some notion of cumulative reward. In other words, reinforcement learning is a learning paradigm where an agent learns to interact with an environment by taking actions and observing the feedback it receives in the form of rewards or penalties. It is a feedback-based Machine learning technique in which an agent learns to behave in an environment by performing the actions and seeing the results of actions. For each good action, the agent gets positive feedback, and for each bad action, the agent gets negative feedback or penalty.

Intelligent Data Engineering and Automated Learning – IDEAL 2020

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Author :
Publisher : Springer Nature
ISBN 13 : 3030623653
Total Pages : 633 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Intelligent Data Engineering and Automated Learning – IDEAL 2020 by : Cesar Analide

Download or read book Intelligent Data Engineering and Automated Learning – IDEAL 2020 written by Cesar Analide and published by Springer Nature. This book was released on 2020-10-29 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.* The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2020 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI. * The conference was held virtually due to the COVID-19 pandemic.

ECAI 2010

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Publisher : IOS Press
ISBN 13 : 160750605X
Total Pages : 1184 pages
Book Rating : 4.6/5 (75 download)

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Book Synopsis ECAI 2010 by : European Coordinating Committee for Artificial Intelligence

Download or read book ECAI 2010 written by European Coordinating Committee for Artificial Intelligence and published by IOS Press. This book was released on 2010 with total page 1184 pages. Available in PDF, EPUB and Kindle. Book excerpt: LC copy bound in 2 v.: v. 1, p. 1-509; v. 2, p. [509]-1153.

Smart Sensors for Industry 4.0

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Publisher : John Wiley & Sons
ISBN 13 : 1394213565
Total Pages : 260 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Smart Sensors for Industry 4.0 by : Brojo Kishore Mishra

Download or read book Smart Sensors for Industry 4.0 written by Brojo Kishore Mishra and published by John Wiley & Sons. This book was released on 2024-09-04 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the essential guide to harnessing the power of cutting-edge smart sensors in Industry 4.0, offering deep insights into fundamentals, fabrication techniques, and real-world IIoT applications, equipping you with the knowledge to revolutionize your industrial processes and stay ahead in the digital era. Over the last decade, technologies like the Internet of Things (IoT), big data, cloud computing, blockchain, artificial intelligence (AI), machine learning, device automation, smart sensors, etc., have become highly developed fundamental supports of Industry 4.0, replacing the conventional production systems with advanced methods, and thereby endorsing the smart industry vision. Industry 4.0 is more flexible and agile in dealing with several risk factors, further enabling improved productivity and efficiency, distribution, increased profitability, data integrity, and enhancing customer experience in the current commercial environment. For understanding and analyzing the environment, sensors play a major role in performing the measurements based on computation-produced results from the surrounding environment. Sensors have a wide range of applications for smart industrial operations. The evolution of flexible, low-cost, and multipurpose sensors and their system integration has been examined to develop advanced devices with applications in numerous fields of technology. With the development of both the Internet of Things (IoT) and the Industrial IoT (IIoT), advanced sensors and their associated applications are developing, resulting in the necessity for IoT sensors to be used for several industrial applications. Beneficial aspects of this book include: The latest research in materials and methodology for the fabrication of intelligent sensors, its IoT system integration, and IIoT applications are brought together; Promotes a vision towards making sensor-based monitoring and control of smart industry; Recent advances and challenges of smart sensors are discussed with an emphasis on unmet challenges and future directions of a roadmap to Industry 4.0. Audience This book is highly recommended to a wide range of researchers and industry engineers working in the area of fabrication and integration of industrial smart sensors for IIoT applications, advanced materials for sensor technology, fabrication and characterization of IoT sensors, development of low-cost sensors, sensor system design and integration, and its industrial applications. Post-graduate students from different streams like computer science, electronics and electrical engineering, information technology, electronic communication, etc. will benefit from reading this book.

Advanced Planning, Control, and Signal Processing Methods and Applications in Robotic Systems

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Author :
Publisher : Frontiers Media SA
ISBN 13 : 2889744892
Total Pages : 182 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Advanced Planning, Control, and Signal Processing Methods and Applications in Robotic Systems by : Zhan Li

Download or read book Advanced Planning, Control, and Signal Processing Methods and Applications in Robotic Systems written by Zhan Li and published by Frontiers Media SA. This book was released on 2022-02-22 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: