Optimism Without Regularization: Constant Regret in Zero-Sum Games
Fuente:
arXiv
Saved in:
| Main Authors: | Lazarsfeld, John, Piliouras, Georgios, Sim, Ryann, Skoulakis, Stratis |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fast and Furious Symmetric Learning in Zero-Sum Games: Gradient Descent as Fictitious Play
by: Lazarsfeld, John, et al.
Published: (2025)
by: Lazarsfeld, John, et al.
Published: (2025)
Cautious Optimism: A Meta-Algorithm for Near-Constant Regret in General Games
by: Soleymani, Ashkan, et al.
Published: (2025)
by: Soleymani, Ashkan, et al.
Published: (2025)
Faster Rates for No-Regret Learning in General Games via Cautious Optimism
by: Soleymani, Ashkan, et al.
Published: (2025)
by: Soleymani, Ashkan, et al.
Published: (2025)
No-Regret Learning and Equilibrium Computation in Quantum Games
by: Lin, Wayne, et al.
Published: (2023)
by: Lin, Wayne, et al.
Published: (2023)
When and Why is Optimistic Multiplicative Weights Slow? The Geometry of Energy Dissipation
by: Lazarsfeld, John, et al.
Published: (2026)
by: Lazarsfeld, John, et al.
Published: (2026)
Online Multi-Agent Control with Adversarial Disturbances
by: Barakat, Anas, et al.
Published: (2025)
by: Barakat, Anas, et al.
Published: (2025)
Learning in Quantum Common-Interest Games and the Separability Problem
by: Lin, Wayne, et al.
Published: (2023)
by: Lin, Wayne, et al.
Published: (2023)
Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games
by: Feng, Yi, et al.
Published: (2025)
by: Feng, Yi, et al.
Published: (2025)
Solving Zero-Sum Convex Markov Games
by: Kalogiannis, Fivos, et al.
Published: (2025)
by: Kalogiannis, Fivos, et al.
Published: (2025)
Data-Scarce Identification of Game Dynamics via Sum-of-Squares Optimization
by: Sakos, Iosif, et al.
Published: (2023)
by: Sakos, Iosif, et al.
Published: (2023)
Polynomial Convergence of Bandit No-Regret Dynamics in Congestion Games
by: Dadi, Leello, et al.
Published: (2024)
by: Dadi, Leello, et al.
Published: (2024)
Achieving Logarithmic Regret in KL-Regularized Zero-Sum Markov Games
by: Nayak, Anupam, et al.
Published: (2025)
by: Nayak, Anupam, et al.
Published: (2025)
Solving Imperfect-Recall Games via Sum-of-Squares Optimization
by: Zheng, Rui, et al.
Published: (2026)
by: Zheng, Rui, et al.
Published: (2026)
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games
by: Leonardos, Stefanos, et al.
Published: (2021)
by: Leonardos, Stefanos, et al.
Published: (2021)
Tight Regret Upper and Lower Bounds for Optimistic Hedge in Two-Player Zero-Sum Games
by: Tsuchiya, Taira
Published: (2025)
by: Tsuchiya, Taira
Published: (2025)
On the Limitations and Possibilities of Nash Regret Minimization in Zero-Sum Matrix Games under Noisy Feedback
by: Maiti, Arnab, et al.
Published: (2023)
by: Maiti, Arnab, et al.
Published: (2023)
Offline Two-Player Zero-Sum Markov Games with KL Regularization
by: Chen, Claire, et al.
Published: (2026)
by: Chen, Claire, et al.
Published: (2026)
Scale-Invariant Regret Matching and Online Learning with Optimal Convergence: Bridging Theory and Practice in Zero-Sum Games
by: Zhang, Brian Hu, et al.
Published: (2025)
by: Zhang, Brian Hu, et al.
Published: (2025)
Reducing Optimism Bias in Incomplete Cooperative Games
by: Úradník, Filip, et al.
Published: (2024)
by: Úradník, Filip, et al.
Published: (2024)
Deep Incentive Design with Differentiable Equilibrium Blocks
by: Thoma, Vinzenz, et al.
Published: (2026)
by: Thoma, Vinzenz, et al.
Published: (2026)
Optimistic Online Learning in Symmetric Cone Games
by: Barakat, Anas, et al.
Published: (2025)
by: Barakat, Anas, 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)
Bayesian Learning in Episodic Zero-Sum Games
by: Yueh, Chang-Wei, et al.
Published: (2026)
by: Yueh, Chang-Wei, et al.
Published: (2026)
Rethinking Pricing in Energy Markets: Pay-as-Bid vs Pay-as-Clear
by: Caragiannis, Ioannis, et al.
Published: (2025)
by: Caragiannis, Ioannis, et al.
Published: (2025)
Swim till You Sink: Computing the Limit of a Game
by: Hakim, Rashida, et al.
Published: (2024)
by: Hakim, Rashida, 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)
Leveraging Noisy Observations in Zero-Sum Games
by: Athanasakos, Emmanouil M, et al.
Published: (2024)
by: Athanasakos, Emmanouil M, et al.
Published: (2024)
Revenue Guarantees in Autobidding Platforms
by: Caragiannis, Ioannis, et al.
Published: (2026)
by: Caragiannis, Ioannis, et al.
Published: (2026)
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions
by: Park, Chanwoo, et al.
Published: (2023)
by: Park, Chanwoo, et al.
Published: (2023)
State-Constrained Zero-Sum Differential Games with One-Sided Information
by: Ghimire, Mukesh, et al.
Published: (2024)
by: Ghimire, Mukesh, et al.
Published: (2024)
Corruption-Robust Offline Two-Player Zero-Sum Markov Games
by: Nika, Andi, et al.
Published: (2024)
by: Nika, Andi, et al.
Published: (2024)
Pessimism-Free Offline Learning in General-Sum Games via KL Regularization
by: Chen, Claire, et al.
Published: (2026)
by: Chen, Claire, et al.
Published: (2026)
Computing Equilibria in Games with Stochastic Action Sets
by: Schwarz, Thomas, et al.
Published: (2026)
by: Schwarz, Thomas, et al.
Published: (2026)
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)
Certifying Concavity and Monotonicity in Games via Sum-of-Squares Hierarchies
by: Leon, Vincent, et al.
Published: (2025)
by: Leon, Vincent, et al.
Published: (2025)
The Welfare Gap of Strategic Storage: Universal Bounds and Price Non-Linearity
by: Jiang, Zhile, et al.
Published: (2026)
by: Jiang, Zhile, et al.
Published: (2026)
Learning in Zero-Sum Markov Games: Relaxing Strong Reachability and Mixing Time Assumptions
by: Ouhamma, Reda, et al.
Published: (2023)
by: Ouhamma, Reda, et al.
Published: (2023)
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)
Regret Minimization in Stackelberg Games with Side Information
by: Harris, Keegan, et al.
Published: (2024)
by: Harris, Keegan, et al.
Published: (2024)
A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games
by: Agarwal, Shubhankar, et al.
Published: (2025)
by: Agarwal, Shubhankar, et al.
Published: (2025)
Similar Items
-
Fast and Furious Symmetric Learning in Zero-Sum Games: Gradient Descent as Fictitious Play
by: Lazarsfeld, John, et al.
Published: (2025) -
Cautious Optimism: A Meta-Algorithm for Near-Constant Regret in General Games
by: Soleymani, Ashkan, et al.
Published: (2025) -
Faster Rates for No-Regret Learning in General Games via Cautious Optimism
by: Soleymani, Ashkan, et al.
Published: (2025) -
No-Regret Learning and Equilibrium Computation in Quantum Games
by: Lin, Wayne, et al.
Published: (2023) -
When and Why is Optimistic Multiplicative Weights Slow? The Geometry of Energy Dissipation
by: Lazarsfeld, John, et al.
Published: (2026)