Imagen de Portada

Learning in Time-Varying Monotone Network Games with Dynamic Populations

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Taha, Feras Al, Rokade, Kiran, Parise, Francesca
Formato:	Preprint
Publicado:	2024
Materias:	Computer Science and Game Theory Systems and Control Dynamical Systems
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Asymmetric Network Games: $α$-Potential Function and Learning
por: Rokade, Kiran, et al.
Publicado: (2025)

Feedback Linearization for Replicator Dynamics: A Control Framework for Evolutionary Game Convergence
por: Faisal, Adil
Publicado: (2025)

Nash Equilibrium Learning In Large Populations With First-Order Payoff Modifications
por: Hankins, Matthew S., et al.
Publicado: (2025)

Evolutionary Games on Infinite Strategy Sets: Convergence to Nash Equilibria via Dissipativity
por: Anderson, Brendon G., et al.
Publicado: (2023)

On the Variational Interpretation of Mirror Play in Monotone Games
por: Pan, Yunian, et al.
Publicado: (2024)

Global Behavior of Learning Dynamics in Zero-Sum Games with Memory Asymmetry
por: Fujimoto, Yuma, et al.
Publicado: (2024)

Adaptive Incentive Design with Learning Agents
por: Maheshwari, Chinmay, et al.
Publicado: (2024)

Nash Equilibrium and Learning Dynamics in Three-Player Matching $m$-Action Games
por: Fujimoto, Yuma, et al.
Publicado: (2024)

Second-Order Mirror Descent: Convergence in Games Beyond Averaging and Discounting
por: Gao, Bolin, et al.
Publicado: (2021)

Determining the Winner in Alternating-Move Games
por: Bellaïche, Itamar, et al.
Publicado: (2026)

Continuous-time Discounted Mirror-Descent Dynamics in Monotone Concave Games
por: Gao, Bolin, et al.
Publicado: (2019)

Optimal Algorithms for Bandit Learning in Matching Markets
por: Pagare, Tejas, et al.
Publicado: (2025)

Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium
por: Fujimoto, Yuma, et al.
Publicado: (2024)

Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games
por: Fujimoto, Yuma, et al.
Publicado: (2023)

Dynamic Population Games: A Tractable Intersection of Mean-Field Games and Population Games
por: Elokda, Ezzat, et al.
Publicado: (2021)

Game-to-Real Gap: Quantifying the Effect of Model Misspecification in Network Games
por: Ferguson, Bryce L., et al.
Publicado: (2026)

A Geometric Embedding Approach to Multiple Games and Multiple Populations
por: Boll, Bastian, et al.
Publicado: (2024)

Strategic Coalitions in Networked Contest Games
por: Diaz-Garcia, Gilberto, et al.
Publicado: (2024)

Certifying Concavity and Monotonicity in Games via Sum-of-Squares Hierarchies
por: Leon, Vincent, et al.
Publicado: (2025)

Stability analysis of a departure time choice problem with atomic vehicle models
por: Satsukawa, Koki, et al.
Publicado: (2024)

Constrained Policy Optimization for Provably Fair Order Matching
por: Cheng, Zehua, et al.
Publicado: (2026)

Learning in Stackelberg Markov Games
por: He, Jun, et al.
Publicado: (2025)

FlipDyn with Control: Resource Takeover Games with Dynamics
por: Banik, Sandeep, et al.
Publicado: (2023)

Information Compression in Dynamic Information Disclosure Games
por: Tang, Dengwang, et al.
Publicado: (2024)

Token Economy for Fair and Efficient Dynamic Resource Allocation in Congestion Games
por: Pedroso, Leonardo, et al.
Publicado: (2026)

Counterclockwise Dissipativity, Potential Games and Evolutionary Nash Equilibrium Learning
por: Martins, Nuno C., et al.
Publicado: (2024)

United We Fall: On the Nash Equilibria of Multiplex and Multilayer Network Games
por: Ebrahimi, Raman, et al.
Publicado: (2024)

Rationality of Learning Algorithms in Repeated Normal-Form Games
por: Bajaj, Shivam, et al.
Publicado: (2024)

Inferring Foresightedness in Dynamic Noncooperative Games
por: Armstrong, Cade, et al.
Publicado: (2024)

Nash-equilibrium Seeking Algorithm for Power-Allocation Games on Networks of International Relations
por: Zhang, Chuanzhe, et al.
Publicado: (2025)

Strategic and Fair Aggregator Interactions in Energy Markets: Mutli-agent Dynamics and Quasiconcave Games
por: Li, Jiayi, et al.
Publicado: (2024)

Multi-Agent Learning in Contextual Games under Unknown Constraints
por: Maddux, Anna M., et al.
Publicado: (2023)

No-Regret Learning in Stackelberg Games with an Application to Electric Ride-Hailing
por: Maddux, Anna, et al.
Publicado: (2025)

Interleaved Information Structures in Dynamic Games: A General Framework with Application to the Linear-Quadratic Case
por: K, Janani S, et al.
Publicado: (2026)

Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning
por: Wu, Zida, et al.
Publicado: (2024)

Co-Investment with Payoff-Sharing Mechanism for Cooperative Decision-Making in Network Design Games
por: He, Mingjia, et al.
Publicado: (2025)

Revisiting Game-Theoretic Control in Socio-Technical Networks: Emerging Design Frameworks and Contemporary Applications
por: Zhu, Quanyan, et al.
Publicado: (2024)

Learning with Episodic Hypothesis Testing in General Games: A Framework for Equilibrium Selection
por: Yang, Ruifan, et al.
Publicado: (2025)

Competition and Cooperation of LLM Agents in Games
por: Yao, Jiayi, et al.
Publicado: (2026)

Battlefield Transfers in Coalitional Blotto Games
por: Shah, Vade, et al.
Publicado: (2023)