Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Learning In A Class Of Non Zero Two Person Games full books in PDF, epub, and Kindle. Read online Learning In A Class Of Non Zero Two Person Games ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Wilhelm Krelle
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (83 download)
Download or read book Learning in a Class of Non-zero-sum Two-person Games written by Wilhelm Krelle and published by . This book was released on 1991 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Wilhelm Krelle
Publisher :
ISBN 13 :
Total Pages : 18 pages
Book Rating : 4.:/5 (752 download)
Download or read book Learning in a class on non-zero-sum two person games written by Wilhelm Krelle and published by . This book was released on 1991 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Wilhelm Krelle
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (596 download)
Download or read book Learning in a Class of Non-zero Two-person Games written by Wilhelm Krelle and published by . This book was released on 1991 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Wilhelm Krelle
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (596 download)
Download or read book Appendices and Numerical Examples to the Paper Learning in a Class of Non-zero-sum Two-person Games written by Wilhelm Krelle and published by . This book was released on 1991 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Leon Aganesovich Petrosi︠a︡n
Publisher : Nova Publishers
ISBN 13 : 9781560726296
Total Pages : 206 pages
Book Rating : 4.7/5 (262 download)
Download or read book Game Theory and Applications IV written by Leon Aganesovich Petrosi︠a︡n and published by Nova Publishers. This book was released on 1998 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprises 18 contributions on game theory and its applications. Representative topics include: the normalized Banzhaf value and the Banzhaf share function; game problems on rotation surfaces; an optimal stopping of random walks game with reflection; Nash- Hurwitz equilibrium for non-cooperative games; a survey on communication in cooperation games; and selectors of the core and consistency properties. Annotation copyrighted by Book News, Inc., Portland, OR
Author : Jerzy A. Filar
Publisher : Springer Science & Business Media
ISBN 13 : 9780817640026
Total Pages : 488 pages
Book Rating : 4.6/5 (4 download)
Download or read book Advances in Dynamic Games and Applications written by Jerzy A. Filar and published by Springer Science & Business Media. This book was released on 2000-03-30 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modem game theory has evolved enonnously since its inception in the 1920s in the works ofBorel and von Neumann and since publication in the 1940s of the seminal treatise "Theory of Games and Economic Behavior" by von Neumann and Morgenstern. The branch of game theory known as dynamic games is-to a significant extent-descended from the pioneering work on differential games done by Isaacs in the 1950s and 1960s. Since those early decades game theory has branched out in many directions, spanning such diverse disciplines as math ematics, economics, electrical and electronics engineering, operations research, computer science, theoretical ecology, environmental science, and even political science. The papers in this volume reflect both the maturity and the vitalityofmodem day game theoryin general, andofdynamic games, inparticular. The maturitycan be seen from the sophistication ofthe theorems, proofs, methods, and numerical algorithms contained in these articles. The vitality is manifested by the range of new ideas, new applications, the numberofyoung researchers among the authors, and the expanding worldwide coverage of research centers and institutes where the contributions originated.
Author : Huaguang Zhang
Publisher : Springer Science & Business Media
ISBN 13 : 144714757X
Total Pages : 432 pages
Book Rating : 4.4/5 (471 download)
Download or read book Adaptive Dynamic Programming for Control written by Huaguang Zhang and published by Springer Science & Business Media. This book was released on 2012-12-14 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are many methods of stable controller design for nonlinear systems. In seeking to go beyond the minimum requirement of stability, Adaptive Dynamic Programming in Discrete Time approaches the challenging topic of optimal control for nonlinear systems using the tools of adaptive dynamic programming (ADP). The range of systems treated is extensive; affine, switched, singularly perturbed and time-delay nonlinear systems are discussed as are the uses of neural networks and techniques of value and policy iteration. The text features three main aspects of ADP in which the methods proposed for stabilization and for tracking and games benefit from the incorporation of optimal control methods: • infinite-horizon control for which the difficulty of solving partial differential Hamilton–Jacobi–Bellman equations directly is overcome, and proof provided that the iterative value function updating sequence converges to the infimum of all the value functions obtained by admissible control law sequences; • finite-horizon control, implemented in discrete-time nonlinear systems showing the reader how to obtain suboptimal control solutions within a fixed number of control steps and with results more easily applied in real systems than those usually gained from infinite-horizon control; • nonlinear games for which a pair of mixed optimal policies are derived for solving games both when the saddle point does not exist, and, when it does, avoiding the existence conditions of the saddle point. Non-zero-sum games are studied in the context of a single network scheme in which policies are obtained guaranteeing system stability and minimizing the individual performance function yielding a Nash equilibrium. In order to make the coverage suitable for the student as well as for the expert reader, Adaptive Dynamic Programming in Discrete Time: • establishes the fundamental theory involved clearly with each chapter devoted to a clearly identifiable control paradigm; • demonstrates convergence proofs of the ADP algorithms to deepen understanding of the derivation of stability and convergence with the iterative computational methods used; and • shows how ADP methods can be put to use both in simulation and in real applications. This text will be of considerable interest to researchers interested in optimal control and its applications in operations research, applied mathematics computational intelligence and engineering. Graduate students working in control and operations research will also find the ideas presented here to be a source of powerful methods for furthering their study.
Author : Jinna Li
Publisher : Springer Nature
ISBN 13 : 3031283945
Total Pages : 318 pages
Book Rating : 4.0/5 (312 download)
Download or read book Reinforcement Learning written by Jinna Li and published by Springer Nature. This book was released on 2023-07-24 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a thorough introduction to the basics and scientific and technological innovations involved in the modern study of reinforcement-learning-based feedback control. The authors address a wide variety of systems including work on nonlinear, networked, multi-agent and multi-player systems. A concise description of classical reinforcement learning (RL), the basics of optimal control with dynamic programming and network control architectures, and a brief introduction to typical algorithms build the foundation for the remainder of the book. Extensive research on data-driven robust control for nonlinear systems with unknown dynamics and multi-player systems follows. Data-driven optimal control of networked single- and multi-player systems leads readers into the development of novel RL algorithms with increased learning efficiency. The book concludes with a treatment of how these RL algorithms can achieve optimal synchronization policies for multi-agent systems with unknown model parameters and how game RL can solve problems of optimal operation in various process industries. Illustrative numerical examples and complex process control applications emphasize the realistic usefulness of the algorithms discussed. The combination of practical algorithms, theoretical analysis and comprehensive examples presented in Reinforcement Learning will interest researchers and practitioners studying or using optimal and adaptive control, machine learning, artificial intelligence, and operations research, whether advancing the theory or applying it in mineral-process, chemical-process, power-supply or other industries.
Author : Peter Vanderschraaf
Publisher : Routledge
ISBN 13 : 1135725977
Total Pages : 244 pages
Book Rating : 4.1/5 (357 download)
Download or read book Learning and Coordination written by Peter Vanderschraaf and published by Routledge. This book was released on 2014-01-02 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vanderschraaf develops a new theory of game theory equilibrium selection in this book. The new theory defends general correlated equilibrium concepts and suggests a new analysis of convention.
Author : Frank L. Lewis
Publisher : John Wiley & Sons
ISBN 13 : 1118453972
Total Pages : 498 pages
Book Rating : 4.1/5 (184 download)
Download or read book Reinforcement Learning and Approximate Dynamic Programming for Feedback Control written by Frank L. Lewis and published by John Wiley & Sons. This book was released on 2013-01-28 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single player decision and control and multi-player games. Edited by the pioneers of RL and ADP research, the book brings together ideas and methods from many fields and provides an important and timely guidance on controlling a wide variety of systems, such as robots, industrial processes, and economic decision-making.
Author : Bosen Lian
Publisher : Springer Nature
ISBN 13 : 3031452526
Total Pages : 278 pages
Book Rating : 4.0/5 (314 download)
Download or read book Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games written by Bosen Lian and published by Springer Nature. This book was released on with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 348 pages
Book Rating : 4.:/5 (3 download)
Download or read book Resources in Education written by and published by . This book was released on 1995-04 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Derong Liu
Publisher : Springer
ISBN 13 : 3319508156
Total Pages : 609 pages
Book Rating : 4.3/5 (195 download)
Download or read book Adaptive Dynamic Programming with Applications in Optimal Control written by Derong Liu and published by Springer. This book was released on 2017-01-04 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the most recent developments in adaptive dynamic programming (ADP). The text begins with a thorough background review of ADP making sure that readers are sufficiently familiar with the fundamentals. In the core of the book, the authors address first discrete- and then continuous-time systems. Coverage of discrete-time systems starts with a more general form of value iteration to demonstrate its convergence, optimality, and stability with complete and thorough theoretical analysis. A more realistic form of value iteration is studied where value function approximations are assumed to have finite errors. Adaptive Dynamic Programming also details another avenue of the ADP approach: policy iteration. Both basic and generalized forms of policy-iteration-based ADP are studied with complete and thorough theoretical analysis in terms of convergence, optimality, stability, and error bounds. Among continuous-time systems, the control of affine and nonaffine nonlinear systems is studied using the ADP approach which is then extended to other branches of control theory including decentralized control, robust and guaranteed cost control, and game theory. In the last part of the book the real-world significance of ADP theory is presented, focusing on three application examples developed from the authors’ work: • renewable energy scheduling for smart power grids;• coal gasification processes; and• water–gas shift reactions. Researchers studying intelligent control methods and practitioners looking to apply them in the chemical-process and power-supply industries will find much to interest them in this thorough treatment of an advanced approach to control.
Author : Ulrich Derigs
Publisher : EOLSS Publications
ISBN 13 : 1905839499
Total Pages : 336 pages
Book Rating : 4.9/5 (58 download)
Download or read book OPTIMIZATION AND OPERATIONS RESEARCH – Volume II written by Ulrich Derigs and published by EOLSS Publications. This book was released on 2009-02-09 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization and Operations Research is a component of Encyclopedia of Mathematical Sciences in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. The Theme on Optimization and Operations Research is organized into six different topics which represent the main scientific areas of the theme: 1. Fundamentals of Operations Research; 2. Advanced Deterministic Operations Research; 3. Optimization in Infinite Dimensions; 4. Game Theory; 5. Stochastic Operations Research; 6. Decision Analysis, which are then expanded into multiple subtopics, each as a chapter. These four volumes are aimed at the following five major target audiences: University and College students Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers and NGOs.
Author : Eugene More Mignogna
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (134 download)
Download or read book An Exposition on Two Person Non-zero Sum Cooperative Games written by Eugene More Mignogna and published by . This book was released on 1959 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Frank Hutter
Publisher : Springer Nature
ISBN 13 : 3030676617
Total Pages : 770 pages
Book Rating : 4.0/5 (36 download)
Download or read book Machine Learning and Knowledge Discovery in Databases written by Frank Hutter and published by Springer Nature. This book was released on 2021-02-24 with total page 770 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic. The 232 full papers and 10 demo papers presented in this volume were carefully reviewed and selected for inclusion in the proceedings. The volumes are organized in topical sections as follows: Part I: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent neural networks; collaborative filtering and matrix completion. Part II: deep learning optimization and theory; active learning; adversarial learning; federated learning; Kernel methods and online learning; partial label learning; reinforcement learning; transfer and multi-task learning; Bayesian optimization and few-shot learning. Part III: Combinatorial optimization; large-scale optimization and differential privacy; boosting and ensemble methods; Bayesian methods; architecture of neural networks; graph neural networks; Gaussian processes; computer vision and image processing; natural language processing; bioinformatics. Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition; applied data science: hardware and manufacturing; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: healthcare; applied data science: e-commerce and finance; applied data science: computational social science; applied data science: sports; demo track.
Author : E. N. Barron
Publisher : John Wiley & Sons
ISBN 13 : 1118216938
Total Pages : 574 pages
Book Rating : 4.1/5 (182 download)
Download or read book Game Theory written by E. N. Barron and published by John Wiley & Sons. This book was released on 2013-04-22 with total page 574 pages. Available in PDF, EPUB and Kindle. Book excerpt: An exciting new edition of the popular introduction to game theory and its applications The thoroughly expanded Second Edition presents a unique, hands-on approach to game theory. While most books on the subject are too abstract or too basic for mathematicians, Game Theory: An Introduction, Second Edition offers a blend of theory and applications, allowing readers to use theory and software to create and analyze real-world decision-making models. With a rigorous, yet accessible, treatment of mathematics, the book focuses on results that can be used to determine optimal game strategies. Game Theory: An Introduction, Second Edition demonstrates how to use modern software, such as MapleTM, Mathematica®, and Gambit, to create, analyze, and implement effective decision-making models. Coverage includes the main aspects of game theory including the fundamentals of two-person zero-sum games, cooperative games, and population games as well as a large number of examples from various fields, such as economics, transportation, warfare, asset distribution, political science, and biology. The Second Edition features: • A new chapter on extensive games, which greatly expands the implementation of available models • New sections on correlated equilibria and exact formulas for three-player cooperative games • Many updated topics including threats in bargaining games and evolutionary stable strategies • Solutions and methods used to solve all odd-numbered problems • A companion website containing the related Maple and Mathematica data sets and code A trusted and proven guide for students of mathematics and economics, Game Theory: An Introduction, Second Edition is also an excellent resource for researchers and practitioners in economics, finance, engineering, operations research, statistics, and computer science.
