kunczik leonhard (33 resultados)

Condición: new.

Condición: New.

Paperback. Condición: new. Paperback. This book constitutes the refereed proceedings of the 17th International Conference on Critical Information Infrastructures Security, CRITIS 2022, which took place in Munich, Germany, during September 1416, 2022.The 16 full papers and 4 short papers included in this volume were carefully reviewed and selected from 26 submissions. They are organized in topical sections as follows: protection of cyber-physical systems and industrial control systems (ICS); C(I)IP organization, (strategic) management and legal aspects; human factor, security awareness and crisis management for C(I)IP and critical services; and future, TechWatch and forecast for C(I)IP and critical services. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: As New. Unread book in perfect condition.

Condición: new.

Condición: New.

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Condición: New. pp. 292.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: new. Paperback. This book explores the combination of Reinforcement Learning and Quantum Computing in the light of complex attacker-defender scenarios. Reinforcement Learning has proven its capabilities in different challenging optimization problems and is now an established method in Operations Research. However, complex attacker-defender scenarios have several characteristics that challenge Reinforcement Learning algorithms, requiring enormous computational power to obtain the optimal solution. The upcoming field of Quantum Computing is a promising path for solving computationally complex problems. Therefore, this work explores a hybrid quantum approach to policy gradient methods in Reinforcement Learning. It proposes a novel quantum REINFORCE algorithm that enhances its classical counterpart by Quantum Variational Circuits. The new algorithm is compared to classical algorithms regarding the convergence speed and memory usage on several attacker-defender scenarios with increasing complexity. In addition, to study its applicability on today's NISQ hardware, the algorithm is evaluated on IBM's quantum computers, which is accompanied by an in-depth analysis of the advantages of Quantum Reinforcement Learning. This book explores the combination of Reinforcement Learning and Quantum Computing in the light of complex attacker-defender scenarios. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: Brand New. 289 pages. 9.25x6.10x0.61 inches. In Stock.

Condición: New. In.

Kartoniert / Broschiert. Condición: New.

PF. Condición: New.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 17thInternational Conference on Critical Information Infrastructures Security, CRITIS 2022, which took place in Munich, Germany, during September 14-16, 2022.The 16 full papers and 4 short papers included in this volume were carefully reviewed and selected from 26 submissions. They are organized in topical sections as follows: protection of cyber-physical systems and industrial control systems (ICS); C(I)IP organization, (strategic) management and legal aspects; human factor, security awareness and crisis management for C(I)IP and critical services; and future, TechWatch and forecast for C(I)IP and critical services.

Paperback. Condición: new. Paperback. This book constitutes the refereed proceedings of the 17th International Conference on Critical Information Infrastructures Security, CRITIS 2022, which took place in Munich, Germany, during September 1416, 2022.The 16 full papers and 4 short papers included in this volume were carefully reviewed and selected from 26 submissions. They are organized in topical sections as follows: protection of cyber-physical systems and industrial control systems (ICS); C(I)IP organization, (strategic) management and legal aspects; human factor, security awareness and crisis management for C(I)IP and critical services; and future, TechWatch and forecast for C(I)IP and critical services. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

Taschenbuch. Condición: Neu. Critical Information Infrastructures Security | 17th International Conference, CRITIS 2022, Munich, Germany, September 14-16, 2022, Revised Selected Papers | Bernhard Hämmerli (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xiii | Englisch | 2023 | Springer | EAN 9783031351891 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condición: Neu. Reinforcement Learning with Hybrid Quantum Approximation in the NISQ Context | Leonhard Kunczik | Taschenbuch | xviii | Englisch | 2022 | Springer VS | EAN 9783658376154 | Verantwortliche Person für die EU: Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Str. 46, 65189 Wiesbaden, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores the combination of Reinforcement Learning and Quantum Computing in the light of complex attacker-defender scenarios. Reinforcement Learning has proven its capabilities in different challenging optimization problems and is now an established method in Operations Research. However, complex attacker-defender scenarios have several characteristics that challenge Reinforcement Learning algorithms, requiring enormous computational power to obtain the optimal solution.The upcoming field of Quantum Computing is a promising path for solving computationally complex problems. Therefore, this work explores a hybrid quantum approach to policy gradient methods in Reinforcement Learning. It proposes a novel quantum REINFORCE algorithm that enhances its classical counterpart by Quantum Variational Circuits. The new algorithm is compared to classical algorithms regarding the convergence speed and memory usage on several attacker-defender scenarios with increasing complexity. In addition, to study its applicability on today's NISQ hardware, the algorithm is evaluated on IBM's quantum computers, which is accompanied by an in-depth analysis of the advantages of Quantum Reinforcement Learning.

Condición: Hervorragend. Zustand: Hervorragend | Seiten: 292 | Sprache: Englisch | Produktart: Bücher | This book constitutes the refereed proceedings of the 17th International Conference on Critical Information Infrastructures Security, CRITIS 2022, which took place in Munich, Germany, during September 14¿16, 2022.The 16 full papers and 4 short papers included in this volume were carefully reviewed and selected from 26 submissions. They are organized in topical sections as follows: protection of cyber-physical systems and industrial control systems (ICS); C(I)IP organization, (strategic) management and legal aspects; human factor, security awareness and crisis management for C(I)IP and critical services; and future, TechWatch and forecast for C(I)IP and critical services.

Paperback. Condición: new. Paperback. This book explores the combination of Reinforcement Learning and Quantum Computing in the light of complex attacker-defender scenarios. Reinforcement Learning has proven its capabilities in different challenging optimization problems and is now an established method in Operations Research. However, complex attacker-defender scenarios have several characteristics that challenge Reinforcement Learning algorithms, requiring enormous computational power to obtain the optimal solution. The upcoming field of Quantum Computing is a promising path for solving computationally complex problems. Therefore, this work explores a hybrid quantum approach to policy gradient methods in Reinforcement Learning. It proposes a novel quantum REINFORCE algorithm that enhances its classical counterpart by Quantum Variational Circuits. The new algorithm is compared to classical algorithms regarding the convergence speed and memory usage on several attacker-defender scenarios with increasing complexity. In addition, to study its applicability on today's NISQ hardware, the algorithm is evaluated on IBM's quantum computers, which is accompanied by an in-depth analysis of the advantages of Quantum Reinforcement Learning. This book explores the combination of Reinforcement Learning and Quantum Computing in the light of complex attacker-defender scenarios. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condición: Brand New. 289 pages. 9.25x6.10x0.61 inches. In Stock. This item is printed on demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the 17thInternational Conference on Critical Information Infrastructures Security, CRITIS 2022, which took place in Munich, Germany, during September 14-16, 2022.The 16 full papers and 4 short papers included in this volume were carefully reviewed and selected from 26 submissions. They are organized in topical sections as follows: protection of cyber-physical systems and industrial control systems (ICS); C(I)IP organization, (strategic) management and legal aspects; human factor, security awareness and crisis management for C(I)IP and critical services; and future, TechWatch and forecast for C(I)IP and critical services. 292 pp. Englisch.

Condición: New. Print on Demand pp. 292.

Condición: New. PRINT ON DEMAND pp. 292.

Paperback. Condición: Brand New. 152 pages. 8.27x5.83x0.36 inches. In Stock. This item is printed on demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores the combination of Reinforcement Learning and Quantum Computing in the light of complex attacker-defender scenarios. Reinforcement Learning has proven its capabilities in different challenging optimization problems and is now an established method in Operations Research. However, complex attacker-defender scenarios have several characteristics that challenge Reinforcement Learning algorithms, requiring enormous computational power to obtain the optimal solution.The upcoming field of Quantum Computing is a promising path for solving computationally complex problems. Therefore, this work explores a hybrid quantum approach to policy gradient methods in Reinforcement Learning. It proposes a novel quantum REINFORCE algorithm that enhances its classical counterpart by Quantum Variational Circuits. The new algorithm is compared to classical algorithms regarding the convergence speed and memory usage on several attacker-defender scenarios with increasing complexity. In addition, to study its applicability on today's NISQ hardware, the algorithm is evaluated on IBM's quantum computers, which is accompanied by an in-depth analysis of the advantages of Quantum Reinforcement Learning. 152 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Protection of Cyber-Physical Systems and Industrial Control Systems.- Root Cause Analysis of Software Aging in Critical Information Infrastructure.- Threat-driven Dynamic Security Policies for Cyber-Physical Infrastructures.- High Data Throughput Exfiltration through Video Cable Emanations.- Design and Justification of a Cybersecurity Assessment Framework for IoT-based Environments.- An Empirical Evaluation of 4.0 CNC Machines.- Dataset Report : LID-DS 2021.- Analytics, Strategic Management.- Strategic Anticipation in Crisis Management through the Lens of Societal Values - The SANCTUM Project.- An Assessment Model for Prioritizing CVEs in CRITIS in the Context of Time and Fault Criticality.- Towards a Layer Model for Digital Sovereignty: A Holistic Approach.- Building Collaborative Cybersecurity for Critical Infrastructure Protection: Empirical Evidence of Collective Intelligence Information-Sharing Dynamics on ThreatFox.- Automatic Concrete Bridge Crack Detection from Strain Measurements: a Preliminary Study.- Mapping and Simulating Cyber-Physical Threats for Critical Infrastructures.- Identifying Residential Areas based on Open Source Data: a Multi Criteria Holistic Indicator to Optimize Resource Allocation During a Pandemic.- Security Awareness and Crisis Management for C(I)IP.- Modeling Hierarchical Structure of Effective Communication Factors in Cyber Incident Response.- Energy Security in the Context of Hybrid Threats: The Case of the European Natural Gas Network.- Cybersecurity in the German Railway Sector.- The Understanding of Vulnerability of Critical Infrastructure.- Is there a Relationship between Cybersecurity Level and Electricity Outages in Norway .- Emerging Importance of Cybersecurity in Electric Power Sector as a Hub of Interoperable Critical Infrastructure Protection in the Greater Metropolitan Areas in Japan.- A Water Security Plan to Enhance Resilience of Drinking Water Systems.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 292 pp. Englisch.

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book explores the combination of Reinforcement Learning and Quantum Computing in the light of complex attacker-defender scenarios. Reinforcement Learning has proven its capabilities in different challenging optimization problems and is now an establish.