Tembine Hamidou (124 results)

Condition: Very Good. - Covers a little rubbed and slightly chipped near both spine ends - Book ow/ solid, clean and bright - xxxv/460 pages.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: As New. Unread book in perfect condition.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Condition: New.

Paperback. Condition: New. 1st. The contents of this book comprise an appropriate background to start working and doing research on mean-field-type control and game theory. To make the exposition and explanation even easier, we first study the deterministic optimal control and differential linear-quadratic games. Then, we progressively add complexity step-by-step and little-by-little to the problem settings until we finally study and analyze mean-field-type control and game problems incorporating several stochastic processes, e.g., Brownian motions, Poisson jumps, and random coefficients.We go beyond the Nash equilibrium, which provides a solution for non- cooperative games, by analyzing other game-theoretical concepts such as the Berge, Stackelberg, adversarial/robust, and co-opetitive equilibria. For the mean-field-type game analysis, we provide several numerical examples using a Matlab-based user-friendly toolbox that is available for the free use to the readers of this book.We present several engineering applications in both continuous and discrete time. Among these applications we find the following: water distribution systems, micro-grid energy storage, stirred tank reactor, mechanism design for evolutionary dynamics, multi-level building evacuation problem, and the COVID-19 propagation control."With such a demand from engineering audiences, this book is very timely and provides a thorough study of mean-field-type game theory. The strenuous protagonist of this book is to bridge between the theoretical findings and engineering solutions. The book introduces the basics first, and then mathematical frameworks are elaborately explained. The engineering application examples are shown in detail, and the popular learning approaches are also investigated. Those advantageous characteristics will make this book a comprehensive handbook of many engineering fields for many years, and I will buy one when it gets published."- Zhu Han.…

Condition: New.

Condition: New.

Paperback. Condition: New. Game theory systems can be seen as players working together or competing to achieve goals. GPT Meets Game Theory explores a new way to understand and employ neural networks through the lens of game theory. Focusing on transformers, the engines behind today's most advanced AI, it explains key mathematical concepts and strategies in a clear, accessible way. As AI models are growing larger and taking on more data, GPT Meets Game Theory draws from biology, physics, as well as game theory, to help readers understand how we can interpret and guide the models' behavior. It also looks at how these ideas apply to "mean-field" models and how they can be used in situations like federated learning, where many devices work together to train an AI system. The book shows how choosing the right AI design and training method is like making strategic moves in a game - especially when multiple AI agents are involved. GPT Meets Game Theory offers an illuminating read for computer science, engineering, and mathematics researchers interested in the mathematical underpinnings of deep learning models, particularly transformers, and also for those who are curious about how game theory can apply to the training and optimisation of these models.…

paperback. Condition: New.

Condition: New. In.

Condition: New.

paperback. Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. Game theory systems can be seen as players working together or competing to achieve goals. GPT Meets Game Theory explores a new way to understand and employ neural networks through the lens of game theory. Focusing on transformers, the engines behind today's most advanced AI, it explains key mathematical concepts and strategies in a clear, accessible way. As AI models are growing larger and taking on more data, GPT Meets Game Theory draws from biology, physics, as well as game theory, to help readers understand how we can interpret and guide the models' behavior. It also looks at how these ideas apply to "mean-field" models and how they can be used in situations like federated learning, where many devices work together to train an AI system. The book shows how choosing the right AI design and training method is like making strategic moves in a game - especially when multiple AI agents are involved. GPT Meets Game Theory offers an illuminating read for computer science, engineering, and mathematics researchers interested in the mathematical underpinnings of deep learning models, particularly transformers, and also for those who are curious about how game theory can apply to the training and optimisation of these models.…

Condition: New. 1st edition NO-PA16APR2015-KAP.

Condition: As New. Unread book in perfect condition.

Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.

Condition: New.

Hardcover. Condition: New.

Condition: New. pp. xv + 323 Illus.

Condition: New.

Condition: NEW.

Condition: New. pp. xv + 323 1st Edition.