Найти книгу: "Markov Decision Processes"

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. «This text is unique in bringing together so many results hitherto found only in part in other texts and papers. . . . The text is fairly self-contained, inclusive of some basic mathematical results needed, and provides a rich diet of examples, applications, and exercises. The bibliographical material at the end of each chapter is excellent, not only from a historical perspective, but because it is valuable for researchers in acquiring a good perspective of the MDP research potential.» —Zentralblatt fur Mathematik «. . . it is of great value to advanced-level students, researchers, and professional practitioners of this field to have now a complete volume (with more than 600 pages) devoted to this topic. . . . Markov Decision Processes: Discrete Stochastic Dynamic Programming represents an up-to-date, unified, and rigorous treatment of theoretical and computational aspects of discrete-time Markov decision processes.» —Journal of the American Statistical Association

Учебное пособие предназначено для обучения магистров по направлению «Химическая технология» и его содержание соответствует ФГОС 3-го поколения для дисциплины «Процессы массопереноса в системах с участием твердой фазы». Изложенный в учебном пособии материал позволяет студентам восполнить и систематизировать знания по теории массообменных процессов, знакомит со спецификой массопереноса в системах с участием твердой фазы, а также с такими процессами, как адсорбция, ионный обмен, кристаллизация, растворение, мембранное разделение, конструкциями соответствующих аппаратов и методами их расчетов.

Decision making by the aircrafts services of the international airport, which provides for intensive traffic of aircraft and their ground handling, becomes a very topical issue. If earlier it was believed that the intensity is provided only by the number of runways, nowadays a large accumulation of aircraft on the airport platform-field creates equally complex difficulties in comparison with aircraft take-offs and landings. Solving such problems with the use of «crisp methods» of queuing theory gives little. This article deals with modern «fuzzy methods» based on simulation modeling and fuzzy logic.

The training system is implemented with the use of the fuzzy classifier that represents fuzzy knowledge base, the input of which receives signals about current state of the traction rolling stock and of the environment. The results of the work allow implementing intelligent DSS in modern locomotives. This will enhance the level of safety and efficiency of driving a train.

Discover analytical tools and practices to help improve the quality of risk management in government organizations Federal agencies increasingly recognize the importance of active risk management to help ensure that they can carry out their missions. High impact events, once thought to occur only rarely, now occur with surprising frequency. Managing Risk in Government Agencies and Programs provides insight into the increasingly critical role of effective risk management, while offering analytical tools and promising practices that can help improve the quality of risk management in government organizations. Includes chapters that contribute to the knowledge of government executives and managers who want to establish or implement risk management, and especially Enterprise Risk Management (ERM), in their agencies Features chapters written by federal risk managers, public administration practitioners, and scholars Showing government officials how to improve their organization's risk management capabilities, Managing Risk in Government Agencies and Programs meets a growing demand from federal departments and agencies that find themselves increasingly embarrassed by risky events that raise questions about their ability to carry out their missions.