Image de couverture de livre

MFGLib: A Library for Mean-Field Games

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Guo, Xin, Hu, Anran, Santamaria, Matteo, Tajrobehkar, Mahan, Zhang, Junzi
Format:	Preprint
Publié:	2023
Sujets:	Computer Science and Game Theory
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games
par: Hu, Anran, et autres
Publié: (2024)

Last-iterate Convergence in Regularized Graphon Mean Field Game
par: Dong, Jing, et autres
Publié: (2024)

LMFPPO-UBP: Local Mean Field Proximal Policy Optimization with Unbalanced Punishment for Spatial Public Goods Games
par: Yang, Jinshuo, et autres
Publié: (2026)

Mean-Field Games With Finitely Many Players: Independent Learning and Subjectivity
par: Yongacoglu, Bora, et autres
Publié: (2022)

Neural Mean-Field Games: Extending Mean-Field Game Theory with Neural Stochastic Differential Equations
par: Thöni, Anna C. M., et autres
Publié: (2025)

Approximately Solving Continuous-Time Mean Field Games with Finite State Spaces
par: Eich, Yannick, et autres
Publié: (2026)

Incentive Designs for Stackelberg Games with a Large Number of Followers and their Mean-Field Limits
par: Sanjari, Sina, et autres
Publié: (2022)

Repositioning, Ride-matching, and Abandonment in On-demand Ride-hailing Platforms: A Mean Field Game Approach
par: Li, Yunpeng, et autres
Publié: (2025)

Stochastic Window Mean-Payoff Games
par: Doyen, Laurent, et autres
Publié: (2023)

Optimal Strategy Revision in Population Games: A Mean Field Game Theory Perspective
par: Barreiro-Gomez, Julian, et autres
Publié: (2025)

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

On Time-Inconsistency in Mean Field Games
par: Bayraktar, Erhan, et autres
Publié: (2023)

Mean-Field-Type Game Theory with Rosenblatt Noise
par: Tembine, Hamidou, et autres
Publié: (2025)

Robust Mean-Field Games with Risk Aversion and Bounded Rationality
par: Jeloka, Bhavini, et autres
Publié: (2026)

The Sample Complexity of Stackelberg Games
par: Bacchiocchi, Francesco, et autres
Publié: (2024)

On Approximate Nash Equilibria in Mean Field Games
par: Djete, Mao Fabrice, et autres
Publié: (2026)

A Variational Inequality Approach to Independent Learning in Static Mean-Field Games
par: Yardim, Batuhan, et autres
Publié: (2025)

Universal Complexity Bounds Based on Value Iteration for Stochastic Mean Payoff Games and Entropy Games
par: Allamigeon, Xavier, et autres
Publié: (2022)

Mean Field Analysis of Blockchain Systems
par: Georghiades, Yanni, et autres
Publié: (2026)

Subgame-perfect Equilibria in Mean-payoff Games (journal version)
par: Brice, Léonard, et autres
Publié: (2022)

Cycle Patterns and Mean Payoff Games
par: Loho, Georg, et autres
Publié: (2025)

An Overview of Some Extensions of Mean Field Games beyond Perfect Homogeneity and Anonymity
par: Laurière, Mathieu
Publié: (2025)

The Complexity of Correlated Equilibria in Generalized Games
par: Bernasconi, Martino, et autres
Publié: (2025)

Cooperation Dynamics in Multi-Agent Systems: Exploring Game-Theoretic Scenarios with Mean-Field Equilibria
par: Sathi, Vaigarai, et autres
Publié: (2023)

A-PSRO: A Unified Strategy Learning Method with Advantage Function for Normal-form Games
par: Hu, Yudong, et autres
Publié: (2023)

Learning a Game by Paying the Agents
par: Zhang, Brian Hu, et autres
Publié: (2025)

Exponential Lower Bounds on the Double Oracle Algorithm in Zero-Sum Games
par: Zhang, Brian Hu, et autres
Publié: (2024)

A Lower Bound on Swap Regret in Extensive-Form Games
par: Daskalakis, Constantinos, et autres
Publié: (2024)

Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value
par: Wu, Young, et autres
Publié: (2023)

Minimizing Inequity in Facility Location Games
par: Guo, Yuhang, et autres
Publié: (2026)

Hidden-Role Games: Equilibrium Concepts and Computation
par: Carminati, Luca, et autres
Publié: (2023)

Reinforcement Learning for Finite Space Mean-Field Type Games
par: Shao, Kai, et autres
Publié: (2024)

The Complexity of Equilibrium Refinements in Potential Games
par: Anagnostides, Ioannis, et autres
Publié: (2025)

Participation Incentives in Online Cooperative Games
par: Aziz, Haris, et autres
Publié: (2025)

Learning in Mean Field Games: A Survey
par: Laurière, Mathieu, et autres
Publié: (2022)

Roping in Uncertainty: Robustness and Regularization in Markov Games
par: McMahan, Jeremy, et autres
Publié: (2024)

The Complexity of Proper Equilibrium in Extensive-Form and Polytope Games
par: Zhang, Brian Hu, et autres
Publié: (2026)

Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Extensive-Form Games
par: Zhang, Brian Hu, et autres
Publié: (2023)

On the Complexity of Correlated Equilibria Beyond Normal-Form Games
par: Anagnostides, Ioannis, et autres
Publié: (2026)

Efficient and Scalable Deep Reinforcement Learning for Mean Field Control Games
par: Peng, Nianli, et autres
Publié: (2024)