A dynamical neural network approach for solving stochastic two-player zero-sum games

DOI10.1016/j.neunet.2022.04.006zbMath1523.91005OpenAlexW4223596037MaRDI QIDQ6077009

Dawen Wu, Abdel Lisser

Publication date: 17 October 2023

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2022.04.006

zbMATH Keywords

saddle pointdynamical neural networkstochastic two-player zero-sum game

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Noncooperative games (91A10) 2-person games (91A05) Stochastic games, stochastic differential games (91A15)

Related Items (2)

An adaptive neurodynamic approach for solving nonsmooth \(N\)-cluster games ⋮ MG-CNN: a deep CNN to predict saddle points of matrix games

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Conic optimization via operator splitting and homogeneous self-dual embedding
• A dynamical model for solving degenerate quadratic minimax problems with constraints
• ``Neural computation of decisions in optimization problems
• A global Newton method to compute Nash equilibria.
• A second-order cone programming formulation for two player zero-sum games with chance constraints
• Neural networks for nonlinear and mixed complementarity problems and their applications
• Physics-informed neural networks: a deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
• On Augmented Lagrangian Methods with General Lower-Level Constraints
• Simplicial Variable Dimension Algorithms for Solving the Nonlinear Complementarity Problem on a Product of Unit Simplices Using a General Labelling
• Analysis and design of a recurrent neural network for linear programming
• Total variation diminishing Runge-Kutta schemes
• Trust Region Methods
• Generalized Neural Network for Nonsmooth Nonlinear Programming Problems
• Iterative Solution of Nonlinear Equations in Several Variables
• A Stochastic Programming Model
• Equilibrium Points of Bimatrix Games
• Equilibrium points in n -person games
• Integration of Stiff Equations
• Constrained Games and Linear Programming
• Solving nonlinear complementarity problems with neural networks: A reformulation method approach

This page was built for publication: A dynamical neural network approach for solving stochastic two-player zero-sum games