Reinforcement Learning – alle Bücher, Seite 2

Rajendra Akerkar
Artificial Intelligence

Part 1: Foundations of artificial intelligence.- The genesis of artificial intelligence: Origins and evaluation.- The dawn of AI: Early innovations and discoveries.- Part 2: The learning revolution: Data-…

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Artificial Intelligence and Intelligent Matter

Preface.- 1. Introduction: Artificial Intelligence and Intelligent Matter.- Part I: Introduction to Artificial Intelligence.- 2. Introduction to Artificial Intelligence.- 3. An Introduction to Reinforceme…

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Artificial Intelligence for Smart Manufacturing and Industry X.0

Introduction to Smart Manufacturing.- Artificial Intelligence for Smart Manufacturing: Opportunities and Prospects.- Predictive Maintenance for Structural Integrity with Computer Vision.- Fostering Preces…

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Parallel Processing and Applied Mathematics

.- First Workshop on Advancements of Global Challenges Applications. .- Simulation of wildfires using EuroHPC resources: challenges and opportunities. .- Ktirio Urban Building: A Computational Framework f…

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Proceedings of the 4th International Conference on Machine Learning, Cloud Computing and Intelligent Mining (Mlccim2025)

This book contains the selected proceedings of the 2025 International Conference on Machine Learning, Cloud Computing and Intelligent Mining, held in Mohe, China, July 21-25, 2025. The conference explores…

lieferbar ab 14.4.2026.

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Rohit Kumar
Fundamentals of Cost-Efficient AI

Fundamentals of Cost-Efficient AI: In Healthcare and Biomedicine provides a comprehensive yet accessible introduction to the principles of designing, training, and deploying efficient artificial intellige…

lieferbar in mind. 4 Wochen

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Bo Lijun
New Models And Methods In Dynamic Portfolio Optimization

This book presents some new models and methods in the context of dynamical portfolio optimization. It encapsulates the authors' recent progress in their research on several interesting, featured issues of…

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Elad Hazan, Karan Singh
Introduction to Online Control

This tutorial guide introduces online nonstochastic control, an emerging paradigm in control of dynamical systems and differentiable reinforcement learning that applies techniques from online convex optim…

lieferbar ab 28.2.2026.

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Rohit M. Thanki, Komal R. Borisagar, Anjali Diwan
Machine Learning for Wireless Communication

This book covers the basic principles of wireless communication while delving into the fundamentals of machine learning, including supervised and unsupervised learning, deep learning, and reinforcement le…

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Agents and Artificial Intelligence

.- Agents..- Advanced Evaluation of Variable Binding Strategies in BDI Agents with Integrated Failure Handling..- A Framework for Cognitive Defense in Blockchain: A Case Study on AI-Based Protection Again…

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Positioning and Navigation Using Machine Learning Methods

This is the first book completely dedicated to positioning and navigation using machine learning methods. It deals with ground, aerial, and space positioning and navigation for pedestrians, vehicles, UAVs…

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Yuhan Kang, Hao Gao, Zhu Han
Mean Field Guided Machine Learning

This book explores the integration of Mean Field Game (MFG) theory with machine learning (ML), presenting both theoretical foundations and practical applications. Drawing from extensive research, it provi…

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Games on Graphs

This volume introduces the fundamental results and the state of the art in infinite duration games on graphs. These versatile game models first appeared in the study of automata and logic, but later becam…

lieferbar ab 30.4.2026.

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Rishal Hurbans
Grokking AI Algorithms, Second Edition

Understand the algorithms that underpin AI, from classic to cutting-edge.Artificial intelligence algorithms are the backbone of search and optimization, deep learning, reinforcement learning, and, of cour…

lieferbar ab 27.3.2026.

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Weiting Zhang, Dong Yang, Shuai Gao, Hongke Zhang
Intelligent Resource Scheduling in End-Edge-Cloud Networks

This book investigates technologies that enable more powerful resources and improve resource utilization for end-edge-cloud networks. The authors cover tools such as federated learning (FL) and real-time …

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Agents and Robots for reliable Engineered Autonomy

.- Conversational Text-to-SQL: A Comprehensive Survey of Paradigms, Challenges, and Future Directions. .- Selecting the Most Specific Plan in AgentSpeak Programs. .- A wearable stereo vision-based obstacl…

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Luis Enrique Sucar
Causal Discovery

02 This book presents an overview of causal discovery, an emergent field with important developments in the last few years, and multiple applications in several fields.The book is divided into three parts…

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Mohammad Nauman
Keras 3

Harness the power of AI with this guide to using Keras! Start by reviewing the fundamentals of deep learning and installing the Keras API. Next, follow Python code examples to build your own models, and t…

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Modeling Decisions for Artificial Intelligence

.- Decision making and uncertainty..- Measurable Closure of a Finitely-Additive Measure Space: An Analysis of Spaces Similar to Stone Spaces..- Ecological Inference for Electoral Analysis: A Computational…

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Katsushi Ikeuchi, Naoki Wake, Jun Takamatsu, Kazuhiro Sasabuchi
Learning-from-Observation 2.0

This book presents recent breakthroughs in the field of Learning-from-Observation (LfO) resulting from advancement in large language models (LLM) and reinforcement learning (RL) and positions it in the co…

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