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A Tutorial on Non-Terrestrial Networks: Towards Global and Ubiquitous 6G Connectivity
The International Mobile Telecommunications (IMT)-2030 framework recently adopted by the International Telecommunication Union Radio Communication Sector (ITU-R) envisions 6G networks to deliver intelligent, seamless connectivity that suppo...
A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning
A Markov Decision Process (MDP) is a natural framework for formulating sequential decision-making problems under uncertainty. In recent years, researchers have greatly advanced algorithms for learning and acting in MDPs. This book reviews s...
A Tutorial on Hadamard Semidifferentials
This tutorial presents a brief survey of semidifferentials in the familiar context of finite-dimensional Euclidean space. This restriction exposes the most critical ideas, important connections to convexity and optimization, and a few novel...
A Traveler’s Guide to the Stars
A brief guide to the real science of interstellar travelWith known exoplanets now numbering in the thousands and initiatives like 100 Year Starship and Breakthrough Starshot advancing the idea of interstellar travel, the age-old dream of ve...
A Toolbox for Refined Information-Theoretic Analyses with Applications
This monograph offers a toolbox of mathematical techniques that have been effective and widely applicable in information-theoretic analyses. The first tool is a generalization of the method of types to Gaussian settings, and then to general...
A Systems Approach to Lithium-Ion Battery Management
The advent of lithium ion batteries has brought a significant shift in the area of large format battery systems. Previously limited to heavy and bulky lead-acid storage batteries, large format batteries were used only where absolutely neces...
A Systematic Review of Visualization Recommendation Systems: Goals, Strategies, Interfaces, and Evaluations
Visualization recommendation systems help data analysts navigate large, complex datasets by generating visualizations of meaningful patterns, outliers, and insights that could influence downstream decision-making. However, recommendations c...
A Survey on the Integration of Machine Learning with Sampling-based Motion Planning
Motion planning is the problem of finding valid paths, expressed as sequences of configurations, or trajectories, expressed as sequences of controls, which move a robot from a given start state to a desired goal state while avoiding obstacl...
A Survey on Policy Search for Robotics
Policy search is a subfield of Reinforcement Learning (RL) that focuses on finding good parameters for a given policy parameterization. It is well suited tor robotics as it can cope with high-dimensional state and action spaces, which is on...
A Survey of Value Sensitive Design Methods
Value sensitive design is a theoretically grounded approach to the design of technology that accounts for human values in a principled and systematic manner throughout the design process. A Survey of Value Sensitive Design Methods looks at ...