Reinforcement Learning – all Bücher

Sean Meyn
Control Systems and Reinforcement Learning

"A high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of "deep" or "Q", or why the code sometimes fails. This book …

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Zhiwei Qin (Tony), Xiaocheng Tang, Qingyang Li, Hongtu Zhu
Reinforcement Learning in the Ridesharing Marketplace

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…

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Baihan Lin
Reinforcement Learning Methods in Speech and Language Technology

This book offers a comprehensive guide to reinforcement learning (RL) and bandits methods, specifically tailored for advancements in speech and language technology. Starting with a foundational overview o…

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Hang Wang, Sen Lin, Junshan Zhang
Continual and Reinforcement Learning for Edge AI

This book provides a comprehensive introduction to continual and reinforcement learning for edge AI, which investigates how to build an AI agent that can continuously solve new learning tasks and enhance …

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Aaron M. Roth, Dinesh Manocha, Ram D. Sriram, Elham Tabassi
Explainable and Interpretable Reinforcement Learning for Robotics

Introduction.- Classification System.- Explainable Methods Organized by Category.- 4 Key Considerations and Resources.- Opportunities, Challenges, and Future Directions.

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Bosen Lian, Wenqian Xue, Bahare Kiumarsi, Hamidreza Modares
Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games

Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games develops its specific learning techniques, motivated by application to autonomous driving and microgrid systems, with brea…

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Nathan Lambert
The Rlhf Book

Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.This is …

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Jan Maetschke
Wirtschaftliche Leistungssteigerung von Produktionslinien

Die Dissertation entwickelt einen praxisgerechten Ansatz zur wirtschaftlichen Leistungssteigerung von Produktionslinien. Durch die Kombination simulationsbasierter Optimierung mit hierarchischem und heuri…

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Christian Knaak
Echtzeitüberwachung und -optimierung der Nahtqualität beim Laserstrahlschweißen mittels bildgebender Sensorik und künstlicher Intelligenz

Herausforderungen wie steigende Qualitätsanforderungen und Kosteneffizienz erfordern innovative Lösungen für die effiziente Herstellung hochwertiger Produkte in der Automobilindustrie. Diese Arbeit stellt…

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Advances in Practical Applications of Agents, Multi-Agent Systems, and Computational Social Science: The PAAMS Collection

.- Main Track. .- Transformer Based Models for Offline Multi-Agent Reinforcement Learning. .- Theory and Practice of Natural Strategy Checking in Concurrent Games with Imperfect Information. .- Optimizing…

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Tao Zhang, Xiangyun Tang, Jiawen Kang, Changqiao Xu
Moving Target Defense Based on Artificial Intelligence

Chapter 1 Introduction of Moving Target Defense.- Chapter 2 Host Address Mutation based on Advantage Actor-Critic Approach.- Chapter 3 Service Function Chain Migration based on Proximal Policy Optimizatio…

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Herkulaas Combrink
Computational Infodemiology

Preface.- Chapter 1 Introduction to Computational Infodemiology.- Chapter 2 Agent Based Modelling and Reinforcement Learning in Computational Infodemiology.- Chapter 3 A Framework for Modelling Belief Sys…

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Vikram Krishnamurthy
Partially Observed Markov Decision Processes

This survey of formulation, algorithms, and structural results in POMDPs focuses on underlying concepts and connections to real-world applications in controlled sensing, keeping technical machinery to a m…

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Flexible Automation and Intelligent Manufacturing: The Future of Automation and Manufacturing: Intelligence, Agility, and Sustainability

.- Application of Ensemble Learning to Classify Failures in Lithium-ion Batteries.- Implementation of a Reinforcement Learning Application for Production Scheduling Including Practical Constraints.- Predi…

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Proceedings of the 3rd International Conference on Computer Science's Complex Systems and Their Applications

Machine Learning-Based Intrusion Detection Systems for the Internet of Drones: A Systematic Mapping Study.- A comprehensive study on Artificial Intelligence of Things Optimization Approaches.- Fault Predi…

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing

.- Relation Extraction of Traditional Chinese Medicine Patents Based on Large Language Model and Diversified Semantic Interaction.- Semantic Multi-Agent Framework for Automated Cloud-Edge Pattern Discover…

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Advances on Broad-Band and Wireless Computing, Communication and Applications

.- Game Theoretic Reinforcement Learning for Mobility-Aware Resource Allocation in 5G MIMO.- Cross-Domain Handover in 5G/6G Networks.- Mesh Router Optimization by WMN-PSOHCDGA Simulation System for a Smal…

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Intelligent Computing

Parsing Requirements for Automatic Prompting of Large Language Models for Requirements Validation.- LLM Re-Ranker as a Tool for Enhancing Sequential Recommendations.- The Role of ChatGPT in Advancement of…

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Haesik Kim
Artificial Intelligence in the 6G Ecosystem

This textbook provides knowledge of artificial intelligence (AI), wireless communications, and cellular networks. It covers AI techniques such as unsupervised learning, supervised learning, reinforcement …

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Artificial Intelligence XLII

.- Application Papers. .- Detect, Decide, Explain: An Intelligent Framework for Zero-Day Network Attack Detection (Best Application Paper). .- Evolutionary Algorithms. .- Evolutionary Optimization of Auto…

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