Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback
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
Last-iterate Convergence in Regularized Graphon Mean Field Game
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)
The Representation-Rationalizability Tradeoff in Reward Learning
by: Dong, Jing, et al.
Published: (2026)
by: Dong, Jing, et al.
Published: (2026)
Efficient Uncoupled Learning Dynamics with $\tilde{O}\!\left(T^{-1/4}\right)$ Last-Iterate Convergence in Bilinear Saddle-Point Problems over Convex Sets under Bandit Feedback
by: Maiti, Arnab, et al.
Published: (2026)
by: Maiti, Arnab, et al.
Published: (2026)
On the Decomposition of Differential Game
by: Zhou, Nanxiang, et al.
Published: (2024)
by: Zhou, Nanxiang, et al.
Published: (2024)
Doubly Optimal No-Regret Online Learning in Strongly Monotone Games with Bandit Feedback
by: Ba, Wenjia, et al.
Published: (2021)
by: Ba, Wenjia, et al.
Published: (2021)
Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints
by: Patris, Nikolas, et al.
Published: (2024)
by: Patris, Nikolas, et al.
Published: (2024)
Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games
by: Dadi, Leello, et al.
Published: (2024)
by: Dadi, Leello, et al.
Published: (2024)
Two-Player Zero-Sum Games with Bandit Feedback
by: Yılmaz, Elif, et al.
Published: (2025)
by: Yılmaz, Elif, et al.
Published: (2025)
Minimizing Rosenthal's Potential in Monotone Congestion Games
by: Bilò, Vittorio, et al.
Published: (2024)
by: Bilò, Vittorio, et al.
Published: (2024)
On the Convergence of Learning Algorithms in Bayesian Auction Games
by: Bichler, Martin, et al.
Published: (2023)
by: Bichler, Martin, et al.
Published: (2023)
Multi-Agent Combinatorial-Multi-Armed-Bandit framework for the Submodular Welfare Problem under Bandit Feedback
by: Pokhriyal, Subham, et al.
Published: (2026)
by: Pokhriyal, Subham, et al.
Published: (2026)
Bandits with Preference Feedback: A Stackelberg Game Perspective
by: Pásztor, Barna, et al.
Published: (2024)
by: Pásztor, Barna, et al.
Published: (2024)
Last Iterate Convergence in Monotone Mean Field Games
by: Isobe, Noboru, et al.
Published: (2024)
by: Isobe, Noboru, et al.
Published: (2024)
Incentivized Learning in Principal-Agent Bandit Games
by: Scheid, Antoine, et al.
Published: (2024)
by: Scheid, Antoine, et al.
Published: (2024)
Sample Complexity of Identifying the Nonredundancy of Nontransitive Games in Dueling Bandits
by: Lu, Shang, et al.
Published: (2025)
by: Lu, Shang, et al.
Published: (2025)
Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient Feedback
by: Jordan, Michael I., et al.
Published: (2023)
by: Jordan, Michael I., et al.
Published: (2023)
Characterizing the Convergence of Game Dynamics via Potentialness
by: Bichler, Martin, et al.
Published: (2025)
by: Bichler, Martin, et al.
Published: (2025)
On the Variational Interpretation of Mirror Play in Monotone Games
by: Pan, Yunian, et al.
Published: (2024)
by: Pan, Yunian, et al.
Published: (2024)
Nearly-Optimal Bandit Learning in Stackelberg Games with Side Information
by: Balcan, Maria-Florina, et al.
Published: (2025)
by: Balcan, Maria-Florina, et al.
Published: (2025)
Bandit Learning in Housing Markets
by: Lin, Shiyun
Published: (2025)
by: Lin, Shiyun
Published: (2025)
Higher-Order Uncoupled Learning Dynamics and Nash Equilibrium
by: Toonsi, Sarah A., et al.
Published: (2025)
by: Toonsi, Sarah A., et al.
Published: (2025)
Convergent Q-Learning for Infinite-Horizon General-Sum Markov Games through Behavioral Economics
by: Zhang, Yizhou, et al.
Published: (2025)
by: Zhang, Yizhou, et al.
Published: (2025)
Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games
by: Abe, Kenshi, et al.
Published: (2024)
by: Abe, Kenshi, et al.
Published: (2024)
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)
Bandit Social Learning with Exploration Episodes
by: Banihashem, Kiarash, et al.
Published: (2026)
by: Banihashem, Kiarash, et al.
Published: (2026)
Achieving Pareto Optimality in Games via Single-bit Feedback
by: Kiremitci, Seref Taha, et al.
Published: (2025)
by: Kiremitci, Seref Taha, et al.
Published: (2025)
Protocols for Verifying Smooth Strategies in Bandits and Games
by: Christ, Miranda, et al.
Published: (2025)
by: Christ, Miranda, et al.
Published: (2025)
Coordination Games on Multiplex Networks: Consensus, Convergence, and Stability of Opinion Dynamics
by: Shiu, Ruey-An, et al.
Published: (2026)
by: Shiu, Ruey-An, et al.
Published: (2026)
On the $O(1/T)$ Convergence of Alternating Gradient Descent-Ascent in Bilinear Games
by: Nan, Tianlong, et al.
Published: (2025)
by: Nan, Tianlong, et al.
Published: (2025)
Online Budget Allocation with Censored Semi-Bandit Feedback
by: Bachoc, François, et al.
Published: (2025)
by: Bachoc, François, et al.
Published: (2025)
PokerSkill: LLMs Can Play Expert-Level Poker without Training or Solvers
by: Li, Boning, et al.
Published: (2026)
by: Li, Boning, et al.
Published: (2026)
Networked Anti-Coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence
by: Qiu, Zirou, et al.
Published: (2023)
by: Qiu, Zirou, et al.
Published: (2023)
Competitive Multi-armed Bandit Games for Resource Sharing
by: Li, Hongbo, et al.
Published: (2025)
by: Li, Hongbo, et al.
Published: (2025)
Engineering Social Optimality via Utility Shaping in Non-Cooperative Games under Incomplete Information and Imperfect Monitoring
by: Smith, David, et al.
Published: (2025)
by: Smith, David, et al.
Published: (2025)
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)
Learning in Time-Varying Monotone Network Games with Dynamic Populations
by: Taha, Feras Al, et al.
Published: (2024)
by: Taha, Feras Al, et al.
Published: (2024)
Monotone Near-Zero-Sum Games: A Generalization of Convex-Concave Minimax
by: Luo, Ruichen, et al.
Published: (2025)
by: Luo, Ruichen, et al.
Published: (2025)
Scale-Invariant Fast Convergence in Games
by: Tsuchiya, Taira, et al.
Published: (2026)
by: Tsuchiya, Taira, et al.
Published: (2026)
Similar Items
-
Last-iterate Convergence in Regularized Graphon Mean Field Game
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) -
The Representation-Rationalizability Tradeoff in Reward Learning
by: Dong, Jing, et al.
Published: (2026) -
Efficient Uncoupled Learning Dynamics with $\tilde{O}\!\left(T^{-1/4}\right)$ Last-Iterate Convergence in Bilinear Saddle-Point Problems over Convex Sets under Bandit Feedback
by: Maiti, Arnab, et al.
Published: (2026)