A game-theoretic approach for Generative Adversarial Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Franci, Barbara, Grammatico, Sergio |
|---|---|
| Format: | Preprint |
| Published: |
2020
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Online Multi-Agent Control with Adversarial Disturbances
by: Barakat, Anas, et al.
Published: (2025)
by: Barakat, Anas, et al.
Published: (2025)
An asynchronous, forward-backward, distributed generalized Nash equilibrium seeking algorithm
by: Cenedese, Carlo, et al.
Published: (2019)
by: Cenedese, Carlo, et al.
Published: (2019)
A pragmatic policy learning approach to account for users' fatigue in repeated auctions
by: Heymann, Benjamin, et al.
Published: (2024)
by: Heymann, Benjamin, et al.
Published: (2024)
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)
Blind Network Revenue Management and Bandits with Knapsacks under Limited Switches
by: Simchi-Levi, David, et al.
Published: (2019)
by: Simchi-Levi, David, et al.
Published: (2019)
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)
Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games
by: Cai, Yang, et al.
Published: (2024)
by: Cai, Yang, et al.
Published: (2024)
Online Generalized-mean Welfare Maximization: Achieving Near-Optimal Regret from Samples
by: Yang, Zongjun, et al.
Published: (2026)
by: Yang, Zongjun, et al.
Published: (2026)
Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach
by: Qiu, Shuang, et al.
Published: (2022)
by: Qiu, Shuang, et al.
Published: (2022)
A Polynomial-Time Algorithm for Variational Inequalities under the Minty Condition
by: Anagnostides, Ioannis, et al.
Published: (2025)
by: Anagnostides, Ioannis, et al.
Published: (2025)
PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium
by: Ding, Shihong, et al.
Published: (2023)
by: Ding, Shihong, et al.
Published: (2023)
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)
A Deep Learning Method for Optimal Investment Under Relative Performance Criteria Among Heterogeneous Agents
by: Laurière, Mathieu, et al.
Published: (2024)
by: Laurière, Mathieu, et al.
Published: (2024)
The Oracle Complexity of Simplex-based Matrix Games
by: Kornowski, Guy, et al.
Published: (2024)
by: Kornowski, Guy, et al.
Published: (2024)
Reinforcement Learning for Finite Space Mean-Field Type Games
by: Shao, Kai, et al.
Published: (2024)
by: Shao, Kai, et al.
Published: (2024)
Satisficing Paths and Independent Multi-Agent Reinforcement Learning in Stochastic Games
by: Yongacoglu, Bora, et al.
Published: (2021)
by: Yongacoglu, Bora, et al.
Published: (2021)
Mistake, Manipulation and Margin Guarantees in Online Strategic Classification
by: Shen, Lingqing, et al.
Published: (2024)
by: Shen, Lingqing, et al.
Published: (2024)
Unsupervised Solution Operator Learning for Mean-Field Games via Sampling-Invariant Parametrizations
by: Huang, Han, et al.
Published: (2024)
by: Huang, Han, et al.
Published: (2024)
Finite-Agent Stochastic Differential Games on Large Graphs: II. Graph-Based Architectures
by: Hu, Ruimeng, et al.
Published: (2025)
by: Hu, Ruimeng, et al.
Published: (2025)
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 Separation Between Best-Iterate, Random-Iterate, and Last-Iterate Convergence of Learning in Games
by: Cai, Yang, et al.
Published: (2025)
by: Cai, Yang, et al.
Published: (2025)
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)
Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment
by: Graf, Lukas, et al.
Published: (2021)
by: Graf, Lukas, et al.
Published: (2021)
Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning
by: Yardim, Batuhan, et al.
Published: (2024)
by: Yardim, Batuhan, et al.
Published: (2024)
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)
On the Convergence of Min-Max Langevin Dynamics and Algorithm
by: Cai, Yang, et al.
Published: (2024)
by: Cai, Yang, et al.
Published: (2024)
Expected Variational Inequalities
by: Zhang, Brian Hu, et al.
Published: (2025)
by: Zhang, Brian Hu, et al.
Published: (2025)
Stochastic variance reduced extragradient methods for solving hierarchical variational inequalities
by: Dvurechensky, Pavel, et al.
Published: (2026)
by: Dvurechensky, Pavel, 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)
Convergence of Regret Matching in Potential Games and Constrained Optimization
by: Anagnostides, Ioannis, et al.
Published: (2025)
by: Anagnostides, Ioannis, et al.
Published: (2025)
Finite-Sample Guarantees for Learning Dynamics in Zero-Sum Polymatrix Games
by: Faizal, Fathima Zarin, et al.
Published: (2024)
by: Faizal, Fathima Zarin, et al.
Published: (2024)
Last-Iterate Convergence of Adaptive Riemannian Gradient Descent for Equilibrium Computation
by: Cai, Yang, et al.
Published: (2023)
by: Cai, Yang, et al.
Published: (2023)
Achieving Logarithmic Regret in KL-Regularized Zero-Sum Markov Games
by: Nayak, Anupam, et al.
Published: (2025)
by: Nayak, Anupam, et al.
Published: (2025)
Small-Gain Nash: Certified Contraction to Nash Equilibria in Differentiable Games
by: Sharma, Vedansh
Published: (2025)
by: Sharma, Vedansh
Published: (2025)
MALADY: Multiclass Active Learning with Auction Dynamics on Graphs
by: Bhusal, Gokul, et al.
Published: (2024)
by: Bhusal, Gokul, et al.
Published: (2024)
An Exponentially Converging Particle Method for the Mixed Nash Equilibrium of Continuous Games
by: Wang, Guillaume, et al.
Published: (2022)
by: Wang, Guillaume, et al.
Published: (2022)
Tracking solutions of time-varying variational inequalities
by: Hadiji, Hédi, et al.
Published: (2024)
by: Hadiji, Hédi, et al.
Published: (2024)
Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities
by: Emmanouilidis, Konstantinos, et al.
Published: (2024)
by: Emmanouilidis, Konstantinos, et al.
Published: (2024)
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)
Operator Splitting for Learning to Predict Equilibria in Convex Games
by: McKenzie, Daniel, et al.
Published: (2021)
by: McKenzie, Daniel, et al.
Published: (2021)
Similar Items
-
Online Multi-Agent Control with Adversarial Disturbances
by: Barakat, Anas, et al.
Published: (2025) -
An asynchronous, forward-backward, distributed generalized Nash equilibrium seeking algorithm
by: Cenedese, Carlo, et al.
Published: (2019) -
A pragmatic policy learning approach to account for users' fatigue in repeated auctions
by: Heymann, Benjamin, et al.
Published: (2024) -
Cautious Optimism: A Meta-Algorithm for Near-Constant Regret in General Games
by: Soleymani, Ashkan, et al.
Published: (2025) -
Blind Network Revenue Management and Bandits with Knapsacks under Limited Switches
by: Simchi-Levi, David, et al.
Published: (2019)