Image de couverture de livre

Certifying Concavity and Monotonicity in Games via Sum-of-Squares Hierarchies

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Leon, Vincent, Sakos, Iosif, Sim, Ryann, Varvitsiotis, Antonios
Format:	Preprint
Publié:	2025
Sujets:	Computer Science and Game Theory Multiagent Systems Optimization and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Data-Scarce Identification of Game Dynamics via Sum-of-Squares Optimization
par: Sakos, Iosif, et autres
Publié: (2023)

Solving Imperfect-Recall Games via Sum-of-Squares Optimization
par: Zheng, Rui, et autres
Publié: (2026)

Continuous-time Discounted Mirror-Descent Dynamics in Monotone Concave Games
par: Gao, Bolin, et autres
Publié: (2019)

Learning and steering game dynamics towards desirable outcomes
par: Canyakmaz, Ilayda, et autres
Publié: (2024)

Solving Zero-Sum Convex Markov Games
par: Kalogiannis, Fivos, et autres
Publié: (2025)

Policy Iteration for Two-Player General-Sum Stochastic Stackelberg Games
par: Kudo, Mikoto, et autres
Publié: (2024)

Global Behavior of Learning Dynamics in Zero-Sum Games with Memory Asymmetry
par: Fujimoto, Yuma, et autres
Publié: (2024)

Distributed Equilibrium-Seeking in Target Coverage Games via Self-Configurable Networks under Limited Communication
par: Bhargav, Jayanth, et autres
Publié: (2026)

Data-Driven Behaviour Estimation in Parametric Games
par: Maddux, Anna M., et autres
Publié: (2022)

Information Compression in Dynamic Information Disclosure Games
par: Tang, Dengwang, et autres
Publié: (2024)

Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games
par: Fujimoto, Yuma, et autres
Publié: (2023)

Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium
par: Fujimoto, Yuma, et autres
Publié: (2024)

$α$-Potential Games for Decentralized Control of Connected and Automated Vehicles
par: Di, Xuan, et autres
Publié: (2025)

Aspiration-based Perturbed Learning Automata in Games with Noisy Utility Measurements. Part A: Stochastic Stability in Non-zero-Sum Games
par: Chasparis, Georgios C.
Publié: (2025)

Dynamic Games among Teams with Delayed Intra-Team Information Sharing
par: Tang, Dengwang, et autres
Publié: (2021)

Game-theoretic Decentralized Coordination for Airspace Sector Overload Mitigation
par: Im, Jaehan, et autres
Publié: (2025)

Identity Concealment Games: How I Learned to Stop Revealing and Love the Coincidences
par: Karabag, Mustafa O., et autres
Publié: (2021)

A Multi-Player Potential Game Approach for Sensor Network Localization with Noisy Measurements
par: Xu, Gehui, et autres
Publié: (2024)

Online Learning for Dynamic Vickrey-Clarke-Groves Mechanism in Unknown Environments
par: Leon, Vincent, et autres
Publié: (2025)

A Data Driven Structural Decomposition of Dynamic Games via Best Response Maps
par: Rabbani, Mahdis, et autres
Publié: (2026)

General Performance Evaluation for Competitive Resource Allocation Games via Unseen Payoff Estimation
par: Diamond, N'yoma, et autres
Publié: (2024)

Convex Markov Games and Beyond: New Proof of Existence, Characterization and Learning Algorithms for Nash Equilibria
par: Barakat, Anas, et autres
Publié: (2026)

Monotone Near-Zero-Sum Games: A Generalization of Convex-Concave Minimax
par: Luo, Ruichen, et autres
Publié: (2025)

Optimal Modified Feedback Strategies in LQ Games under Control Imperfections
par: Rabbani, Mahdis, et autres
Publié: (2025)

Learning from Delayed Feedback in Games via Extra Prediction
par: Fujimoto, Yuma, et autres
Publié: (2025)

Linear Convergence in Games with Delayed Feedback via Extra Prediction
par: Fujimoto, Yuma, et autres
Publié: (2026)

Synergistic Traffic Assignment
par: Bläsius, Thomas, et autres
Publié: (2025)

Non-convex potential games for finding global solutions to sensor network localization
par: Xu, Gehui, et autres
Publié: (2023)

On the Convergence of Tâtonnement for Linear Fisher Markets
par: Nan, Tianlong, et autres
Publié: (2024)

When is Mean-Field Reinforcement Learning Tractable and Relevant?
par: Yardim, Batuhan, et autres
Publié: (2024)

Strategic Negotiations in Endogenous Network Formation
par: Jalan, Akhil, et autres
Publié: (2024)

Global solution to sensor network localization: A non-convex potential game approach and its distributed implementation
par: Xu, Gehui, et autres
Publié: (2024)

A Fixed Point Framework for the Existence of EFX Allocations
par: Etesami, S. Rasoul
Publié: (2025)

Harnessing Information in Incentive Design
par: Velicheti, Raj Kiriti, et autres
Publié: (2025)

How competitive are pay-as-bid auction games?
par: Vanelli, Martina, et autres
Publié: (2025)

Adaptive Incentive Design with Regret Minimization
par: Vasileiou, Georgios, et autres
Publié: (2026)

A No-Regret Framework for Adaptive Incentive Design
par: Vasileiou, Georgios, et autres
Publié: (2026)

Incentive Design without Hypergradients: A Social-Gradient Method
par: Vasileiou, Georgios, et autres
Publié: (2026)

Second-Order Algorithms for Finding Local Nash Equilibria in Zero-Sum Games
par: Gupta, Kushagra, et autres
Publié: (2024)

Nash Equilibrium and Learning Dynamics in Three-Player Matching $m$-Action Games
par: Fujimoto, Yuma, et autres
Publié: (2024)