Applications of Game Theory in Deep Learning (SpringerBriefs in Computer Science)

Foreword
Preface
Acknowledgment
Contents
Chapter 1: Introduction
	1.1 Basics of Game Theory
	1.2 Introduction to Deep Learning
	1.3 Game Theory in Deep Learning
	1.4 Chapter Overview
	1.5 Cooperative Game Theory
	1.6 Noncooperative Game Theory
	1.7 Application of Game Theory in Deep Learning
	1.8 Case Studies and Different Applications
	1.9 Conclusion and Future Research Directions
	References
Chapter 2: Cooperative Game Theory
	2.1 Introduction
	2.2 Cooperative Game Theory
		2.2.1 Coalitional Games
		2.2.2 Stability
		2.2.3 Core
		2.2.4 Epsilon Core
		2.2.5 Fairness
		2.2.6 Nontransferable Utility
		2.2.7 Shapley Value
	References
Chapter 3: Noncooperative Game Theory
	3.1 Comparing Cooperative and Noncooperative Theory and Their Strategies
	3.2 Nash Equilibrium
	3.3 Mixed Strategies
	3.4 Sequential Game
	3.5 Decision Trees
	3.6 Game with Imperfect Information
	3.7 Games with Perfect Information
	3.8 Extensive Form Games
	3.9 Game Tree
	3.10 Search Strategies for Game Trees
		3.10.1 Breadth-First Search (BFS)
		3.10.2 Depth-First Search (DFS)
	3.11 Min-Max Strategy
		3.11.1 Steps in Game Tree
	3.12 Strategic Form Games
	3.13 Extensive Form Games
	3.14 Dominant Strategies
		3.14.1 Strict Dominance
		3.14.2 Weak Dominance
	3.15 No Dominant Strategy
	3.16 Bayesian Games
	3.17 Matrix Games
	3.18 Repeated Games
		3.18.1 Finitely Repeated Games
		3.18.2 Infinitely Repeated Games
	3.19 Incentives
	References
Chapter 4: Applications of Game Theory in Deep Neural Networks
	4.1 Introduction
	4.2 Relation of Neural Network to Game Theory
	4.3 Applications
	References
Chapter 5: Case Studies and Different Applications
	5.1 Auctions
	5.2 Game Theory in GAN
	5.3 Game Theory in CNN
	5.4 Game Theory and Reinforcement Learning
	5.5 Other Applications
	References
Chapter 6: Conclusion and Future Research Directions
	6.1 A Summary of Key Insights
	6.2 Open Questions, Challenges, and Cross-Disciplinary Opportunities
	6.3 Future Research Direction
	References