Image de couverture de livre

Improved Trial and Error Learning for Random Games

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Taupin, Jérôme, Leturc, Xavier, Martret, Christophe J. Le
Format:	Preprint
Publié:	2025
Sujets:	Optimization and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Algorithms and Differential Game Representations for Exploring Nonconvex Pareto Fronts in High Dimensions
par: Liu, Shanqing, et autres
Publié: (2026)

Subgradient sampling for nonsmooth nonconvex minimization
par: Bolte, Jérôme, et autres
Publié: (2022)

State-Augmented Linear Games with Antagonistic Error for High-Dimensional, Nonlinear Hamilton-Jacobi Reachability
par: Sharpless, Will, et autres
Publié: (2024)

Social Optimum of a Linear Quadratic Collective Choice Model under Congestion
par: Toumi, Noureddine, et autres
Publié: (2024)

Zero-sum Stochastic Differential Games of Impulse Control with Random Intervention Costs
par: Perninge, Magnus
Publié: (2025)

Universal generalization guarantees for Wasserstein distributionally robust models
par: Le, Tam, et autres
Publié: (2024)

Randomized Matrix Weighted Consensus
par: Le-Phan, Nhat-Minh, et autres
Publié: (2023)

Inexact Proximal Point and Tseng Algorithms with Nonsummable Errors to Solve Monotone Inclusions
par: Le, Ba Khiet, et autres
Publié: (2026)

Bilevel gradient methods and the Morse parametric qualification condition
par: Bolte, Jérôme, et autres
Publié: (2025)

Smoothing-Enabled Randomized Stochastic Gradient Schemes for Solving Nonconvex Nonsmooth Potential Games under Uncertainty
par: Xiao, Zhuoyu
Publié: (2026)

Randomized Douglas-Rachford methods for linear systems: Improved accuracy and efficiency
par: Han, Deren, et autres
Publié: (2022)

First- and Zeroth-Order Learning in Asynchronous Games
par: Wang, Zifan, et autres
Publié: (2025)

Learning of Nash Equilibria in Risk-Averse Games
par: Wang, Zifan, et autres
Publié: (2024)

Asymmetric Feedback Learning in Online Convex Games
par: Wang, Zifan, et autres
Publié: (2023)

Solving Decision-Dependent Games by Learning from Feedback
par: Wood, Killian, et autres
Publié: (2023)

solar: A solar thermal power plant simulator for blackbox optimization benchmarking
par: Andrés-Thió, Nicolau, et autres
Publié: (2024)

Stochastic Mean-Field LQ Stackelberg Differential Games with Random Coefficients: Theory and a Deep FBSDE Picard Solver
par: Yang, Ying, et autres
Publié: (2026)

Offline Learning of Decision Functions in Multiplayer Games with Expectation Constraints
par: Huang, Yuanhanqing, et autres
Publié: (2024)

A Stochastic Operator Framework for Optimization and Learning with Sub-Weibull Errors
par: Bastianello, Nicola, et autres
Publié: (2021)

Efficient search strategies for constrained multiobjective blackbox optimization
par: Digabel, Sébastien Le, et autres
Publié: (2025)

Discrete-Time LQ Stochastic Two Person Nonzero Sum Difference Games With Random Coefficients:~Closed-Loop Nash Equilibrium
par: Meng, Qingxin, et autres
Publié: (2025)

Discrete-Time LQ Stochastic Two-Person Nonzero-Sum Difference Games with Random Coefficients:~Open-Loop Nash Equilibrium
par: Wu, Yiwei, et autres
Publié: (2024)

Variational Analysis in the Wasserstein Hierarchy
par: Vauthier, Christophe
Publié: (2025)

Two-Player Zero-Sum Hybrid Games
par: Leudo, Santiago J., et autres
Publié: (2024)

A penalty-interior point method combined with MADS for equality and inequality constrained optimization
par: Audet, Charles, et autres
Publié: (2026)

Distributed Combined Space Partitioning and Network Flow Optimization: an Optimal Transport Approach (Extended Version)
par: Laurentin, Théo, et autres
Publié: (2025)

Approximate Stability of Subadditive Games and Traveling Salesman Games
par: Besson-Niebles, Nicolas, et autres
Publié: (2025)

Improved Convergence in Parameter-Agnostic Error Feedback through Momentum
par: Sadiev, Abdurakhmon, et autres
Publié: (2025)

Learning Generalized Nash Equilibria in Non-Monotone Games with Quadratic Costs
par: Tatarenko, Tatiana, et autres
Publié: (2025)

Distributed Generalized Nash Equilibria Learning for Online Stochastic Aggregative Games
par: Du, Kaixin, et autres
Publié: (2025)

Machine Learning Methods for Large Population Games with Applications in Operations Research
par: Dayanikli, Gokce, et autres
Publié: (2024)

Learning Monge maps with constrained drifting models
par: Dumont, Théo, et autres
Publié: (2026)

Modular Distributed Nonconvex Learning with Error Feedback
par: Carnevale, Guido, et autres
Publié: (2025)

Optimal Control of Fractional Punishment in Optional Public Goods Game
par: Grau, J., et autres
Publié: (2024)

Trustworthy Koopman Operator Learning: Invariance Diagnostics and Error Bounds
par: Conradie, Gustav, et autres
Publié: (2026)

Convergence Rate of Generalized Nash Equilibrium Learning in Strongly Monotone Games with Linear Constraints
par: Tatarenko, Tatiana, et autres
Publié: (2025)

Inexact subgradient methods for semialgebraic functions
par: Bolte, Jérôme, et autres
Publié: (2024)

An Error Bound for Aggregation in Approximate Dynamic Programming
par: Li, Yuchao, et autres
Publié: (2025)

Learning in Herding Mean Field Games: Single-Loop Algorithm with Finite-Time Convergence Analysis
par: Zeng, Sihan, et autres
Publié: (2024)

Convergence of Multi-Scale Reinforcement Q-Learning Algorithms for Mean Field Game and Control Problems
par: Angiuli, Andrea, et autres
Publié: (2023)