Continuous-Time Markov Decision Processes: Borel Space Models and General Control Strategies, Piunovskiy Alexey, Zhang Yi
Автор: Xianping Guo; On?simo Hern?ndez-Lerma Название: Continuous-Time Markov Decision Processes ISBN: 3642260721 ISBN-13(EAN): 9783642260728 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: and Summary.- Continuous-Time Markov Decision Processes.- Average Optimality for Finite Models.- Discount Optimality for Nonnegative Costs.- Average Optimality for Nonnegative Costs.- Discount Optimality for Unbounded Rewards.- Average Optimality for Unbounded Rewards.- Average Optimality for Pathwise Rewards.- Advanced Optimality Criteria.- Variance Minimization.- Constrained Optimality for Discount Criteria.- Constrained Optimality for Average Criteria.
Do you find yourself struggling with crippling thoughts? Do you find yourself procrastinating all the time? Do you feel like you're susceptible to self-destructive thoughts? If your answer is yes to one of these questions, then congratulations because you've just found your ticket to a way out
MENTAL MODELS is a transformative self-help book dedicated to gearing individuals towards the path to productivity, mental stability, mental strength, and achieving a healthy mental-hygiene. Written specifically to aid those suffering from various psychological issues, the books act as the ultimate guide that will lead anyone into overcoming the hurdles known as overthinking, pessimism, anxiety and procrastination.
These two books deal with:
- How to assess one's own mental strength,
- How you can effectively address general negativity,
- How to develop mental toughness..
The book include chapters that are dedicated to how one can improve one's emotional intelligence, the secrets to staying consistently motivated, how to proof oneself against mental adversaries, how to mentally mature and learn to accept things the way they are, and many more insightful details to secure one's overall well-being.
No one deserves to drown in the dark side of their own mind. No one deserves to live a mentally unstable life. Everyone only deserves to live a healthy and worry-free life, to the best they can be.
Be the best that you can be now by starting your journey with this amazing book, Mental models
Автор: Hernandez-Lerma Название: Discrete-Time Markov Control Processes ISBN: 0387945792 ISBN-13(EAN): 9780387945798 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text provides a unified treatment of some recent theoretical developments on Markov control processes. Interest is mainly confined to MCPs with Borel state and control spaces, and possibly unbound costs and non-compact control constraint sets.
Описание: Online learning has become an important vehicle for teacher and student learning. When well designed, online environments can be very powerful in a way that is consistent with the goals of inquiry, experimentation, investigation, reasoning, and problem solving so learners can develop a deep understanding of a subject. Some subjects, however, are not well suited for this type of learning due to the need for small group collaborating and hands-on problem solving.
The Handbook of Research on Online Pedagogical Models for Mathematics Teacher Education provides innovative insights into technology applications and tools used in teaching mathematics online and provides examples of online learning environments and platforms that are suitable for meeting math education goals of inquiry, investigation, reasoning, and problem solving. The content within this publication examines access to education, professional development, and web-based learning. It is designed for teachers, curriculum developers, instructional designers, educational software developers, IT consultants, higher education faculty, policymakers, administrators, researchers, academicians, and students.
Описание: This book offers a systematic and rigorous treatment of continuous-time Markov decision processes, covering both theory and possible applications to queueing systems, epidemiology, finance, and other fields.
Описание: This book is an up-to-date, unified and rigorous treatment of theoretical, computational and applied research on Markov decision process models. The concentration of the book is on infinite-horizon discrete-time models, and it also discusses arbitrary state spaces, finite-horizon and continuous-time discrete-state models.
Do you find yourself struggling with crippling thoughts? Do you find yourself procrastinating all the time? Do you feel like you're susceptible to self-destructive thoughts? If your answer is yes to one of these questions, then congratulations because you've just found your ticket to a way out
MENTAL MODELS is a transformative self-help book dedicated to gearing individuals towards the path to productivity, mental stability, mental strength, and achieving a healthy mental-hygiene. Written specifically to aid those suffering from various psychological issues, the books act as the ultimate guide that will lead anyone into overcoming the hurdles known as overthinking, pessimism, anxiety and procrastination.
These two books deal with:
- How to assess one's own mental strength,
- How you can effectively address general negativity,
- How to develop mental toughness..
The book include chapters that are dedicated to how one can improve one's emotional intelligence, the secrets to staying consistently motivated, how to proof oneself against mental adversaries, how to mentally mature and learn to accept things the way they are, and many more insightful details to secure one's overall well-being.
No one deserves to drown in the dark side of their own mind. No one deserves to live a mentally unstable life. Everyone only deserves to live a healthy and worry-free life, to the best they can be.
Be the best that you can be now by starting your journey with this amazing book, Mental models
Автор: Olivier Sigaud Название: Markov Decision Processes and Artificial Intellignce ISBN: 1848211678 ISBN-13(EAN): 9781848211674 Издательство: Wiley Рейтинг: Цена: 24227.00 р. Наличие на складе: Поставка под заказ.
Описание: Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision problems under uncertainty as well as Reinforcement Learning problems. Written by experts in the field, this book provides a global view of current research using MDPs in Artificial Intelligence.
Автор: Onesimo Hernandez-Lerma; Jean B. Lasserre Название: Further Topics on Discrete-Time Markov Control Processes ISBN: 1461268184 ISBN-13(EAN): 9781461268185 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Devoted to a systematic exposition of some recent developments in the theory of discrete-time Markov control processes, the text is mainly confined to MCPs with Borel state and control spaces.
Автор: Onesimo Hernandez-Lerma; Jean B. Lasserre Название: Discrete-Time Markov Control Processes ISBN: 1461268842 ISBN-13(EAN): 9781461268840 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Heiko Hamann Название: Space-Time Continuous Models of Swarm Robotic Systems ISBN: 3642263607 ISBN-13(EAN): 9783642263606 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Space-Time Continuous Models of Swarm Robotic Systems presents a control-algorithm-based model that predicts the behavior of large self-organizing robot groups, or robot swarms. Readers will find an extensive look into the interdisciplinary research field of swarm robotics.
Описание: The intelligent vehicle will play a crucial and essential role in the development of the future intelligent transportation system, which is developing toward the connected driving environment, ultimate driving safety, and comforts, as well as green efficiency.
While the decision making, planning, and control are extremely vital components of the intelligent vehicle, these modules act as a bridge, connecting the subsystem of the environmental perception and the bottom-level control execution of the vehicle as well. This short book covers various strategies of designing the decision making, trajectory planning, and tracking control, as well as share driving, of the human-automation to adapt to different levels of the automated driving system.
More specifically, we introduce an end-to-end decision-making module based on the deep Q-learning, and improved path-planning methods based on artificial potentials and elastic bands which are designed for obstacle avoidance. Then, the optimal method based on the convex optimization and the natural cubic spline is presented.
As for the speed planning, planning methods based on the multi-object optimization and high-order polynomials, and a method with convex optimization and natural cubic splines, are proposed for the non-vehicle-following scenario (e.g., free driving, lane change, obstacle avoidance), while the planning method based on vehicle-following kinematics and the model predictive control (MPC) is adopted for the car-following scenario. We introduce two robust tracking methods for the trajectory following. The first one, based on nonlinear vehicle longitudinal or path-preview dynamic systems, utilizes the adaptive sliding mode control (SMC) law which can compensate for uncertainties to follow the speed or path profiles. The second one is based on the five-degrees-of-freedom nonlinear vehicle dynamical system that utilizes the linearized time-varying MPC to track the speed and path profile simultaneously.
Toward human-automation cooperative driving systems, we introduce two control strategies to address the control authority and conflict management problems between the human driver and the automated driving systems. Driving safety field and game theory are utilized to propose a game-based strategy, which is used to deal with path conflicts during obstacle avoidance. Driver's driving intention, situation assessment, and performance index are employed for the development of the fuzzy-based strategy.
Multiple case studies and demos are included in each chapter to show the effectiveness of the proposed approach. We sincerely hope the contents of this short book provide certain theoretical guidance and technical supports for the development of intelligent vehicle technology.
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