Last-iterate Convergence in Regularized Graphon Mean Field Game
Fuente:
arXiv
Saved in:
| Main Authors: | Dong, Jing, Wang, Baoxiang, Yu, Yaoliang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback
by: Dong, Jing, et al.
Published: (2024)
by: Dong, Jing, et al.
Published: (2024)
Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games
by: Dong, Jing, et al.
Published: (2024)
by: Dong, Jing, et al.
Published: (2024)
Pointwise Convergence in Games with Conflicting Interest
by: Zhou, Nanxiang, et al.
Published: (2025)
by: Zhou, Nanxiang, et al.
Published: (2025)
Last Iterate Convergence in Monotone Mean Field Games
by: Isobe, Noboru, et al.
Published: (2024)
by: Isobe, Noboru, et al.
Published: (2024)
Efficient Last-iterate Convergence Algorithms in Solving Games
by: Meng, Linjian, et al.
Published: (2023)
by: Meng, Linjian, et al.
Published: (2023)
Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games
by: Feng, Yi, et al.
Published: (2024)
by: Feng, Yi, et al.
Published: (2024)
Low-Rank Graphon Estimation: Theory and Applications to Graphon Games
by: Klopp, Olga, et al.
Published: (2025)
by: Klopp, Olga, et al.
Published: (2025)
On the Decomposition of Differential Game
by: Zhou, Nanxiang, et al.
Published: (2024)
by: Zhou, Nanxiang, et al.
Published: (2024)
Last-iterate Convergence for Symmetric, General-sum, $2 \times 2$ Games Under The Exponential Weights Dynamic
by: Wang, Guanghui, et al.
Published: (2025)
by: Wang, Guanghui, et al.
Published: (2025)
The Representation-Rationalizability Tradeoff in Reward Learning
by: Dong, Jing, et al.
Published: (2026)
by: Dong, Jing, et al.
Published: (2026)
Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games
by: Abe, Kenshi, et al.
Published: (2024)
by: Abe, Kenshi, et al.
Published: (2024)
Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm
by: Zhou, Fuzhong, et al.
Published: (2024)
by: Zhou, Fuzhong, et al.
Published: (2024)
MFGLib: A Library for Mean-Field Games
by: Guo, Xin, et al.
Published: (2023)
by: Guo, Xin, et al.
Published: (2023)
Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games
by: Cai, Yang, et al.
Published: (2023)
by: Cai, Yang, et al.
Published: (2023)
Last-Iterate Convergence of No-Regret Learning for Equilibria in Bargaining Games
by: Kamp, Serafina, et al.
Published: (2025)
by: Kamp, Serafina, et al.
Published: (2025)
Mean-Field Games With Finitely Many Players: Independent Learning and Subjectivity
by: Yongacoglu, Bora, et al.
Published: (2022)
by: Yongacoglu, Bora, et al.
Published: (2022)
Neural Mean-Field Games: Extending Mean-Field Game Theory with Neural Stochastic Differential Equations
by: Thöni, Anna C. M., et al.
Published: (2025)
by: Thöni, Anna C. M., et al.
Published: (2025)
On Time-Inconsistency in Mean Field Games
by: Bayraktar, Erhan, et al.
Published: (2023)
by: Bayraktar, Erhan, et al.
Published: (2023)
Approximately Solving Continuous-Time Mean Field Games with Finite State Spaces
by: Eich, Yannick, et al.
Published: (2026)
by: Eich, Yannick, et al.
Published: (2026)
Last-Iterate Convergence of Payoff-Based Independent Learning in Zero-Sum Stochastic Games
by: Chen, Zaiwei, et al.
Published: (2024)
by: Chen, Zaiwei, et al.
Published: (2024)
Last-Iterate Convergence in Adaptive Regret Minimization for Approximate Extensive-Form Perfect Equilibrium
by: Ren, Hang, et al.
Published: (2025)
by: Ren, Hang, et al.
Published: (2025)
Incentive Designs for Stackelberg Games with a Large Number of Followers and their Mean-Field Limits
by: Sanjari, Sina, et al.
Published: (2022)
by: Sanjari, Sina, et al.
Published: (2022)
LMFPPO-UBP: Local Mean Field Proximal Policy Optimization with Unbalanced Punishment for Spatial Public Goods Games
by: Yang, Jinshuo, et al.
Published: (2026)
by: Yang, Jinshuo, et al.
Published: (2026)
From Average-Iterate to Last-Iterate Convergence in Games: A Reduction and Its Applications
by: Cai, Yang, et al.
Published: (2025)
by: Cai, Yang, et al.
Published: (2025)
Regular Games with Imperfect Information Are Not That Regular
by: Doyen, Laurent, et al.
Published: (2024)
by: Doyen, Laurent, et al.
Published: (2024)
Stochastic Window Mean-Payoff Games
by: Doyen, Laurent, et al.
Published: (2023)
by: Doyen, Laurent, et al.
Published: (2023)
Repositioning, Ride-matching, and Abandonment in On-demand Ride-hailing Platforms: A Mean Field Game Approach
by: Li, Yunpeng, et al.
Published: (2025)
by: Li, Yunpeng, et al.
Published: (2025)
Mean-Field-Type Game Theory with Rosenblatt Noise
by: Tembine, Hamidou, et al.
Published: (2025)
by: Tembine, Hamidou, et al.
Published: (2025)
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms
by: Cai, Yang, et al.
Published: (2024)
by: Cai, Yang, et al.
Published: (2024)
Characterizing the Convergence of Game Dynamics via Potentialness
by: Bichler, Martin, et al.
Published: (2025)
by: Bichler, Martin, et al.
Published: (2025)
On the Convergence of Learning Algorithms in Bayesian Auction Games
by: Bichler, Martin, et al.
Published: (2023)
by: Bichler, Martin, et al.
Published: (2023)
Optimal Strategy Revision in Population Games: A Mean Field Game Theory Perspective
by: Barreiro-Gomez, Julian, et al.
Published: (2025)
by: Barreiro-Gomez, Julian, et al.
Published: (2025)
Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader meets Heisenberg
by: Feng, Yi, et al.
Published: (2024)
by: Feng, Yi, et al.
Published: (2024)
Robust Mean-Field Games with Risk Aversion and Bounded Rationality
by: Jeloka, Bhavini, et al.
Published: (2026)
by: Jeloka, Bhavini, et al.
Published: (2026)
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes
by: Lei, Qi, et al.
Published: (2020)
by: Lei, Qi, et al.
Published: (2020)
Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games
by: Dadi, Leello, et al.
Published: (2024)
by: Dadi, Leello, et al.
Published: (2024)
Last-Iterate Convergence: Zero-Sum Games and Constrained Min-Max Optimization
by: Daskalakis, Constantinos, et al.
Published: (2018)
by: Daskalakis, Constantinos, et al.
Published: (2018)
On Approximate Nash Equilibria in Mean Field Games
by: Djete, Mao Fabrice, et al.
Published: (2026)
by: Djete, Mao Fabrice, et al.
Published: (2026)
Universal Complexity Bounds Based on Value Iteration for Stochastic Mean Payoff Games and Entropy Games
by: Allamigeon, Xavier, et al.
Published: (2022)
by: Allamigeon, Xavier, et al.
Published: (2022)
Convergence of Fast Policy Iteration in Markov Games and Robust MDPs
by: Badger, Keith, et al.
Published: (2025)
by: Badger, Keith, et al.
Published: (2025)
Similar Items
-
Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback
by: Dong, Jing, et al.
Published: (2024) -
Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games
by: Dong, Jing, et al.
Published: (2024) -
Pointwise Convergence in Games with Conflicting Interest
by: Zhou, Nanxiang, et al.
Published: (2025) -
Last Iterate Convergence in Monotone Mean Field Games
by: Isobe, Noboru, et al.
Published: (2024) -
Efficient Last-iterate Convergence Algorithms in Solving Games
by: Meng, Linjian, et al.
Published: (2023)