EAN: 9783031546525

APPLICATIONS OF GAME THEORY IN DEEP LEARNING - ...

This book aims to unravel the complex tapestry that interweaves strategic decision-making
models with the forefront of deep learning techniques. Applications of Game Theory in Deep
Learning provides an extensive and insightful exploration of game theory in deep learning 
diving deep into both the theoretical foundations and the real-world applications that showcase
this intriguing intersection of fields. Starting with the essential foundations for
comprehending both game theory and deep learning  delving into the individual significance of
each field  the book culminates in a nuanced examination of Game Theory's pivotal role in
augmenting and shaping the development of Deep Learning algorithms. By elucidating the
theoretical underpinnings and practical applications of this synergistic relationship  we equip
the reader with a comprehensive understanding of their combined potential. In our digital age 
where algorithms and autonomous agents are becoming more common  the combination of game theory
and deep learning has opened a new frontier of exploration. The combination of these two
disciplines opens new and exciting avenues. We observe how artificial agents can think
strategically  adapt to ever-shifting environments  and make decisions that are consistent with
their goals and the dynamics of their surroundings. This book presents case studies 
methodologies  and real-world applications.

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