A priori data-driven robustness guarantees on strategic deviations from generalised Nash equilibria
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Publication:6585393
DOI10.1016/j.automatica.2024.111746zbMATH Open1542.91018MaRDI QIDQ6585393
Kostas Margellos, Filiberto Fele, Georgios Pantazis
Publication date: 9 August 2024
Published in: Automatica (Search for Journal in Brave)
Cites Work
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- On the variational equilibrium as a refinement of the generalized Nash equilibrium
- Randomized sampling for large zero-sum games
- Opinion dynamics and learning in social networks
- Wait-and-judge scenario optimization
- Best response dynamics in finite games with additive aggregation
- Decomposition algorithms for generalized potential games
- Generalized Nash games and quasi-variational inequalities
- Existence of Nash equilibrium for chance-constrained games
- Chance-constrained sets approximation: a probabilistic scaling approach
- Probabilistic feasibility guarantees for solution sets to uncertain variational inequalities
- Aggregative games and best-reply potentials
- Aggregate comparative statics
- Robust game theory
- On the probabilistic feasibility of solutions in multi-agent optimization problems under uncertainty
- Decentralized Convergence to Nash Equilibria in Constrained Deterministic Mean Field Control
- A Scenario Approach for Non-Convex Control Design
- On the Connection Between Compression Learning and Scenario Based Single-Stage and Cascading Optimization Problems
- Real and Complex Monotone Communication Games
- Random Convex Programs
- The Exact Feasibility of Randomized Solutions of Uncertain Convex Programs
- The Linear Programming Approach to Approximate Dynamic Programming
- Prospect Theory: An Analysis of Decision under Risk
- A General Scenario Theory for Nonconvex Optimization and Decision Making
- Finite-Dimensional Variational Inequalities and Complementarity Problems
- Co-Coercivity and Its Role in the Convergence of Iterative Schemes for Solving Variational Inequalities
- Probably Approximately Correct Nash Equilibrium Learning
- Randomized Strategies for Probabilistic Solutions of Uncertain Feasibility and Optimization Problems
- Nash and Wardrop Equilibria in Aggregative Games With Coupling Constraints
- The Scenario Approach to Robust Control Design
- Equilibrium points in n -person games
- Generalized Nash equilibrium problems
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