No Coin Left Behind: Maximizing Strategic Surplus Against No-Regret Dynamics
Fuente:
arXiv
Guardado en:
| Autores principales: | Su, Yiheng, Vlatakis-Gkaragkounis, Emmanouil-Vasileios |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Solving Neural Min-Max Games: The Role of Architecture, Initialization & Dynamics
por: Patel, Deep, et al.
Publicado: (2025)
por: Patel, Deep, et al.
Publicado: (2025)
Prudent-Banker: No Extra Fees for Baseline Safety in Adversarial Bandits With and Without Delays
por: Hu, Ting, et al.
Publicado: (2026)
por: Hu, Ting, et al.
Publicado: (2026)
Learning Safely Without Knowing the World:COMPASS-Hedge
por: Hu, Ting, et al.
Publicado: (2026)
por: Hu, Ting, et al.
Publicado: (2026)
Solving Zero-Sum Convex Markov Games
por: Kalogiannis, Fivos, et al.
Publicado: (2025)
por: Kalogiannis, Fivos, et al.
Publicado: (2025)
Last-Iterate Convergence of Adaptive Riemannian Gradient Descent for Equilibrium Computation
por: Cai, Yang, et al.
Publicado: (2023)
por: Cai, Yang, et al.
Publicado: (2023)
Breaking $1/ε$ Barrier in Quantum Zero-Sum Games: Generalizing Metric Subregularity for Spectraplexes
por: Su, Yiheng, et al.
Publicado: (2025)
por: Su, Yiheng, et al.
Publicado: (2025)
Contracting with a Learning Agent
por: Guruganesh, Guru, et al.
Publicado: (2024)
por: Guruganesh, Guru, et al.
Publicado: (2024)
Algorithms and Complexity for Computing Nash Equilibria in Adversarial Team Games
por: Anagnostides, Ioannis, et al.
Publicado: (2023)
por: Anagnostides, Ioannis, et al.
Publicado: (2023)
Barriers to Welfare Maximization with No-Regret Learning
por: Anagnostides, Ioannis, et al.
Publicado: (2024)
por: Anagnostides, Ioannis, et al.
Publicado: (2024)
Nearly Tight Regret Bounds for Profit Maximization in Bilateral Trade
por: Di Gregorio, Simone, et al.
Publicado: (2025)
por: Di Gregorio, Simone, et al.
Publicado: (2025)
Multi-Parameter Mechanisms for Consumer Surplus Maximization
por: Ezra, Tomer, et al.
Publicado: (2024)
por: Ezra, Tomer, et al.
Publicado: (2024)
From No-Regret to Strategically Robust Learning in Repeated Auctions
por: Zhao, Junyao
Publicado: (2026)
por: Zhao, Junyao
Publicado: (2026)
Dynamic Regret Bounds for Online Omniprediction with Long Term Constraints
por: Bechavod, Yahav, et al.
Publicado: (2025)
por: Bechavod, Yahav, et al.
Publicado: (2025)
Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics
por: Lucier, Brendan, et al.
Publicado: (2023)
por: Lucier, Brendan, et al.
Publicado: (2023)
Learning not to Regret
por: Sychrovský, David, et al.
Publicado: (2023)
por: Sychrovský, David, et al.
Publicado: (2023)
A Quadratic Speedup in Finding Nash Equilibria of Quantum Zero-Sum Games
por: Vasconcelos, Francisca, et al.
Publicado: (2023)
por: Vasconcelos, Francisca, et al.
Publicado: (2023)
Strategizing against No-Regret Learners in First-Price Auctions
por: Rubinstein, Aviad, et al.
Publicado: (2024)
por: Rubinstein, Aviad, et al.
Publicado: (2024)
Online Generalized-mean Welfare Maximization: Achieving Near-Optimal Regret from Samples
por: Yang, Zongjun, et al.
Publicado: (2026)
por: Yang, Zongjun, et al.
Publicado: (2026)
Regret Analysis of Sleeping Competing Bandits
por: Uba, Shinnosuke, et al.
Publicado: (2026)
por: Uba, Shinnosuke, et al.
Publicado: (2026)
Regret Analysis of Repeated Delegated Choice
por: Hajiaghayi, MohammadTaghi, et al.
Publicado: (2023)
por: Hajiaghayi, MohammadTaghi, et al.
Publicado: (2023)
GPU-Accelerated Counterfactual Regret Minimization
por: Kim, Juho
Publicado: (2024)
por: Kim, Juho
Publicado: (2024)
Full Swap Regret and Discretized Calibration
por: Fishelson, Maxwell, et al.
Publicado: (2025)
por: Fishelson, Maxwell, et al.
Publicado: (2025)
p-Mean Regret for Stochastic Bandits
por: Krishna, Anand, et al.
Publicado: (2024)
por: Krishna, Anand, et al.
Publicado: (2024)
Fairness-aware Contextual Dynamic Pricing with Strategic Buyers
por: Liu, Pangpang, et al.
Publicado: (2025)
por: Liu, Pangpang, et al.
Publicado: (2025)
Regret Minimization in Bilateral Trade With Perturbed Markets
por: Lunghi, Anna, et al.
Publicado: (2026)
por: Lunghi, Anna, et al.
Publicado: (2026)
Regret Minimization in Stackelberg Games with Side Information
por: Harris, Keegan, et al.
Publicado: (2024)
por: Harris, Keegan, et al.
Publicado: (2024)
Forecasting for Swap Regret for All Downstream Agents
por: Roth, Aaron, et al.
Publicado: (2024)
por: Roth, Aaron, et al.
Publicado: (2024)
Meta-Learning in Self-Play Regret Minimization
por: Sychrovský, David, et al.
Publicado: (2025)
por: Sychrovský, David, et al.
Publicado: (2025)
The Relationship between No-Regret Learning and Online Conformal Prediction
por: Ramalingam, Ramya, et al.
Publicado: (2025)
por: Ramalingam, Ramya, et al.
Publicado: (2025)
Selling Joint Ads: A Regret Minimization Perspective
por: Aggarwal, Gagan, et al.
Publicado: (2024)
por: Aggarwal, Gagan, et al.
Publicado: (2024)
Tight Regret Bounds for Bilateral Trade under Semi Feedback
por: Jin, Yaonan
Publicado: (2026)
por: Jin, Yaonan
Publicado: (2026)
Honor Among Bandits: No-Regret Learning for Online Fair Division
por: Procaccia, Ariel D., et al.
Publicado: (2024)
por: Procaccia, Ariel D., et al.
Publicado: (2024)
No-Regret Algorithms in non-Truthful Auctions with Budget and ROI Constraints
por: Aggarwal, Gagan, et al.
Publicado: (2024)
por: Aggarwal, Gagan, et al.
Publicado: (2024)
Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games
por: Cai, Yang, et al.
Publicado: (2023)
por: Cai, Yang, et al.
Publicado: (2023)
Regret Minimization for Piecewise Linear Rewards: Contracts, Auctions, and Beyond
por: Bacchiocchi, Francesco, et al.
Publicado: (2025)
por: Bacchiocchi, Francesco, et al.
Publicado: (2025)
ReLExS: Reinforcement Learning Explanations for Stackelberg No-Regret Learners
por: Huang, Xiangge, et al.
Publicado: (2024)
por: Huang, Xiangge, et al.
Publicado: (2024)
No-Regret Learning in Bilateral Trade via Global Budget Balance
por: Bernasconi, Martino, et al.
Publicado: (2023)
por: Bernasconi, Martino, et al.
Publicado: (2023)
Improved Regret Bounds for Online Fair Division with Bandit Learning
por: Schiffer, Benjamin, et al.
Publicado: (2025)
por: Schiffer, Benjamin, et al.
Publicado: (2025)
Last-Iterate Convergence of No-Regret Learning for Equilibria in Bargaining Games
por: Kamp, Serafina, et al.
Publicado: (2025)
por: Kamp, Serafina, et al.
Publicado: (2025)
Computational Lower Bounds for Regret Minimization in Normal-Form Games
por: Anagnostides, Ioannis, et al.
Publicado: (2024)
por: Anagnostides, Ioannis, et al.
Publicado: (2024)
Ejemplares similares
-
Solving Neural Min-Max Games: The Role of Architecture, Initialization & Dynamics
por: Patel, Deep, et al.
Publicado: (2025) -
Prudent-Banker: No Extra Fees for Baseline Safety in Adversarial Bandits With and Without Delays
por: Hu, Ting, et al.
Publicado: (2026) -
Learning Safely Without Knowing the World:COMPASS-Hedge
por: Hu, Ting, et al.
Publicado: (2026) -
Solving Zero-Sum Convex Markov Games
por: Kalogiannis, Fivos, et al.
Publicado: (2025) -
Last-Iterate Convergence of Adaptive Riemannian Gradient Descent for Equilibrium Computation
por: Cai, Yang, et al.
Publicado: (2023)