How Robust Is Image Classification Deep Neural Network Watermarking?
Explore the robustness of watermarking techniques for image classification neural networks, analyzing various schemes and attacks to provide guidelines for effective protection of intellectual property.
Role of Flexible Demand Technology in Modern Electricity Markets - A Game-Theoretic Perspective
Explores flexible demand technology's role in modern electricity markets using game theory, focusing on decarbonization challenges, system benefits, and impacts on market dynamics and investment planning.
Algorithms for Rank-1 Bimatrix Games
Explore algorithms for solving rank-1 bimatrix games efficiently, including polynomial-time methods for finding Nash equilibria and path-following techniques. Discusses complexity, uniqueness, and parameterized approaches.
Analysis of Mean-Field Games - Lecture 1
Explore static mean-field games, Nash equilibria, and convergence theorems in large symmetric systems. Learn key concepts and proofs in this advanced applied probability lecture.
A Variational Inequality Framework for Network Games
Explore a variational inequality framework for network games, covering game theory connections, Jacobian properties, and sufficient conditions for Nash equilibria in symmetric networks.
Zero-Sum Games and Linear Programming
Explore zero-sum games and their connection to linear programming in this insightful mathematical seminar by Bernhard von Stengel.
Subgame Perfection in Infinite Duration Graph Games
Explore algorithms for manipulating subgame perfect equilibria in infinite duration graph games, with insights on recent developments and applications in system design and analysis.
Introduction to Evolutionary Game Theory - Classes 3 and 4
Explore evolutionary game theory applications in socio-economic complexity through advanced concepts and mathematical models.
Introduction to Artificial Intelligence - Game Theory and Nash Equilibrium - Lecture 9
Explore Nash Equilibrium in game theory, learning its applications and significance in strategic decision-making for AI and problem-solving environments.
Game Theory and Nash Equilibrium - Lecture 9
Explore Nash Equilibrium and game theory concepts through analysis of number-choosing and investment games, with examples and applications in artificial intelligence.
Introduction to Artificial Intelligence: Game Theory - Lecture 8 (Part 1)
Explore game theory fundamentals, strategic decision-making, and AI applications in competitive environments. Gain insights into rational agent behavior and equilibrium concepts.
Network Models for Game Theory and Economics - 2004
Explore graph-theoretic models for game theory and economics, covering Nash equilibria, social networks, and connections to probabilistic modeling and inference.
Optimistic Gradient Descent Ascent in Bilinear Games
Explore optimistic gradient descent ascent in bilinear games with Jerome Renault's insightful analysis and mathematical approach.
Nash Equilibria in Two-Player Differential Games with Impulse Control - Lecture
Explore Nash equilibria in two-player differential games with impulse control, focusing on feedback strategies, HJB equations, and QVIs. Analyze a scalar linear-quadratic game with numerical experiments.
Equilibria of Games with Algorithms
Explore game theory equilibria involving algorithms, focusing on strategic interactions and decision-making processes in computational settings.
How Do Coalitions Break Down? An Alternative View
Explore an alternative dynamic theory of coalition breakdown, examining endogenous exit problems and characterizing solutions in a linear-quadratic frame with time-invariant sharing rules.
Open-Loop Nash Equilibrium in Games with Time-Varying Delays
Explore open-loop Nash equilibria in games with time-varying delays, focusing on sufficient optimality conditions and applications to active vehicle suspension systems.
Network Centrality Maximization Game
Explore network formation strategies as players optimize PageRank centrality by strategically wiring outgoing links, analyzing equilibria and potential game dynamics.
Optimal Design of Renewable Energy Certificate Markets: A Principal-Agent Mean Field Game Approach
Explore optimal design of Renewable Energy Certificate markets using principal-agent mean field game approach. Analyze agent behavior, market dynamics, and regulator strategies for balancing environmental and revenue impacts.
Guaranteed Cost Equilibrium in Infinite Horizon Linear-Quadratic Differential Games - Seminar
Explore output feedback guaranteed cost equilibrium in infinite-horizon linear-quadratic differential games, focusing on applications in engineering and multi-agent systems.
Linear Stochastic Graphon Systems with Q-Noise
Explore linear stochastic graphon systems with Q-noise, extending classical theory to large networks. Learn about LQG control problems, finite rank operators, and Nash Equilibrium approximations in graphon-based systems.