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Approximate Dynamic Programming for Dynamic Vehicle Routing
This book provides a straightforward overview for every researcher interested in stochastic dynamic vehicle routing problems (SDVRPs). The book is written for both the applied researcher looking for suitable solution approaches for particular problems as well as for the theoretical researcher looking for effective and efficient methods of stochastic dynamic optimization and approximate dynamic programming (ADP). To this end, the book contains two parts. In the first part, the general methodology required for modeling and approaching SDVRPs is presented. It presents adapted and new, general anticipatory methods of ADP tailored to the needs of dynamic vehicle routing. Since stochastic dynamic ...
Reinforcement Learning and Approximate Dynamic Programming for Feedback Control
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.
Wandering Wolfs
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The Bordner and Burtner Families, and Their Bortner Ancesters in America
Balser Bortner (ca. 1698-ca. 1747) came to Pennsylvania in 1732. He and his wife, Maria Elisabetha, lived in Tulpehocken Settlement in Lancaster County, Pennsylvania. Descendants lived in Pennsylvania, New York, Ohio, Michigan, Indiana, Illinois, and elsewhere. Some descendants changed name to "Burtner" and "Bordner".
Intuitive Eating, 2nd Edition
We've all been there-angry with ourselves for overeating, for our lack of willpower, for failing at yet another diet that was supposed to be the last one. But the problem is not you, it's that dieting, with its emphasis on rules and regulations, has stopped you from listening to your body. Written by two prominent nutritionists, Intuitive Eating focuses on nurturing your body rather than starving it, encourages natural weight loss, and helps you find the weight you were meant to be. Learn: *How to reject diet mentality forever *How our three Eating Personalities define our eating difficulties *How to feel your feelings without using food *How to honor hunger and feel fullness *How to follow the ten principles of Intuitive Eating, step-by-step *How to achieve a new and safe relationship with food and, ultimately, your body With much more compassionate, thoughtful advice on satisfying, healthy living, this newly revised edition also includes a chapter on how the Intuitive Eating philosophy can be a safe and effective model on the path to recovery from an eating disorder.
Reinforcement Learning, second edition
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the fir...
Real VR – Immersive Digital Reality
With the advent of consumer-market Virtual Reality (VR) technology, the next revolution in visual entertainment is already on the horizon: real VR will enable us to experience live-action movies, sports broadcasts, concert videos, etc. in true visual (and aural) immersion. This book provides a comprehensive overview of the algorithms and methods that make it possible to immerse into real-world recordings. It brings together the expertise of internationally renowned experts from academia and industry who present the state of the art in this fascinating, interdisciplinary new research field. Written by and for scientists, engineers, and practitioners, this book is the definitive reference for anyone interested in finding out about how to import the real world into head-mounted displays.
Neural Networks for Pattern Recognition
Statistical pattern recognition; Probability density estimation; Single-layer networks; The multi-layer perceptron; Radial basis functions; Error functions; Parameter optimization algorithms; Pre-processing and feature extraction; Learning and generalization; Bayesian techniques; Appendix; References; Index.
