Game Theory and Deep Learning: Fundamentals and Applications
Lina Bariah · Samson Lasaulce · Hamidou Tembine · Mathieu Lauriere · Quanyan Zhu · Chao Zhang · Merouane Debbah
Nov 2026 · Academic Press
Ebook
350
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infoThis book will become available on November 2, 2026. You will not be charged until it is released.
About this ebook
Game Theory and Deep Learning: Fundamentals and Applications is the first book to establish a clear and comprehensive link between game theory and deep learning, demonstrating the critical importance of this interplay for solving key technological challenges such as those found in future wireless and energy networks. It delves into the latest connections between game theory and generative AI, including large language models, showcasing how these advanced concepts can be harnessed to address complex real-world problems. Readers will gain a deep understanding of how these two powerful fields intersect and the practical applications of this knowledge.The book teaches readers how to develop a solid foundation in game theory and understand interactive scenarios in both engineering and everyday life, effectively apply their knowledge to practical problems, including resource allocation, security, and influence maximization, and finally, design strategies that optimally exploit available information through successive optimization, reinforcement learning, deep learning, and generative AI techniques. - Gives applications of game theory and deep learning across various domains, such as future wireless and energy networks - Explores the burgeoning connections between game theory and generative AI, including large language models, providing readers with insights into the most current technological advancements - Gives practical methodologies for studying games and to develop design strategies that are supported by numerous examples and detailed case studies - Provides an in-depth overview of outstanding research challenges and potential future directions in the interplay between game theory and deep learning, helping readers remain current and identify new areas for exploration and innovation - Includes guidance on implementation with code snippets and a detailed presentation of methods
Game Theory and Deep Learning: Fundamentals and Applications is the first book to establish a clear and comprehensive link between game theory and deep learning, demonstrating the critical importance of this interplay for solving key technological challenges such as those found in future wireless...
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About the author
Dr. Lina Bariah received the M.Sc. and Ph.D. degrees in communications engineering from Khalifa University, Abu Dhabi, UAE, in 2015 and 2018, respectively. She was a Visiting Researcher with the Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada, in 2019, and an affiliate research fellow, James Watt School of Engineering, University of Glasgow, UK. She was a Senior Researcher at the technology Innovation institute, and a Lead AI Scientist at Open Innovation AI. She is currently an Adjunct Professor at Khalifa University, and an Adjunct Research Professor, Western University, Canada. Dr. Bariah serves as the Industry Chair for GenAINet ETI. Dr. Bariah is a senior member of the IEEE, IEEE Communications Society, IEEE Vehicular Technology Society, and IEEE Women in Engineering. She is the founder and lead of Women in Machine Learning and Data Science (WiMLDS)-Abu Dhabi Chapter. She was recently listed among the100 Brilliant and Inspiring Women in 6G", by Women in 6G organization. She has authored/co-authored 75+ research papers/book chapters in highly ranked journals and flagship conferences. She is an Editor at IEEE Transactions on Wireless Communications. She was an Associate Editor for the IEEE Communication Letters, an Associate Editor for the IEEE Open Journal of the Communications Society, and an Area Editor for Physical Communication (Elsevier). She is a Guest Editor in IEEE Communication Magazine, IEEE Network Magazine, and IEEE Open Journal of Vehicular Technology.Samson received his BSc and Agrégation degree in Applied Physics from École Normale Supérieure (Cachan) and his MSc and PhD in Signal Processing from École Nationale Supérieure des Télécommunications (Paris). Professional experience. He has been working with Motorola Labs for three years (1999, 2000, 2001) and with France Télécom R&D for two years (2002, 2003). Since 2004, he has joined the CNRS and Supélec. Since 2004, he is also Chargé d'Enseignement at École Polytechnique. His broad interests lie in the areas of communications, signal processing and information theory with a special emphasis on game theory for wireless communications. Samson Lasaulce is the recipient of the 2007 ACM/ICST International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS) and 2009 International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM) best student paper awards. Elena Veronica Belmega, who is a PhD student under my supervision, was awarded with the 2009 Academy of Sciences - L'Oreal - Unesco award for young women in sciences in France.Hamidou Tembine (born November 4, 1982, in Orsongo, Dogon Country, West Africa) is a French game theorist and researcher specializing in evolutionary games and co-opetitive mean-field-type games. He has been a Global Network Assistant Professor at New York University. He has been also the principal investigator and director of the Game Theory and Learning Laboratory (L&G Lab) at New York University.[1] Tembine has written about 300 research articles, 5 books, and co-edited 3 books. His research is focused in the areas of auto-regulation, self-regulation, knowledge-based economy and variance minimization of tokens in emerging markets.[Mathieu Laurière is an Assistant Professor of Mathematics and Data Science at NYU Shanghai. Prior to joining NYU Shanghai, he was a Postdoctoral Research Associate at Princeton University in the Operations Research and Financial Engineering (ORFE) department. He obtained his MS from Sorbonne University and ENS Paris-Saclay and his PhD from the University of Paris. Before joining Princeton University, he was a Postdoctoral Fellow at the NYU-ECNU Institute of Mathematical Sciences at NYU Shanghai. Most recently, Mathieu was a Visiting Faculty Researcher at Google Brain, for the Brain Team (Paris).
Dr. Lina Bariah received the M.Sc. and Ph.D. degrees in communications engineering from Khalifa University, Abu Dhabi, UAE, in 2015 and 2018, respectively. She was a Visiting Researcher with the Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada, in 2019, and ...
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