Dynamic Programming Principle for tug-of-war games with noise

We consider a two-player zero-sum-game in a bounded open domain Ω described as follows: at a point x Ω, Players I and II play an ε-step tug-of-war game with probability α, and with probability β (α + β = 1), a random point in the ball of radius ε centered at x is chosen. Once the game position reach...

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Autor principal: Rossi, Julio Daniel
Publicado: 2012
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_12928119_v18_n1_p81_Manfredi
http://hdl.handle.net/20.500.12110/paper_12928119_v18_n1_p81_Manfredi
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spelling paper:paper_12928119_v18_n1_p81_Manfredi2023-06-08T16:10:14Z Dynamic Programming Principle for tug-of-war games with noise Rossi, Julio Daniel Dirichlet boundary conditions Dynamic Programming Principle P-Laplacian Stochastic games Two-player zero-sum games Dirichlet boundary condition Dynamic Programming Principle P-Laplacian Stochastic game Zero-sum game Boundary conditions Dynamic programming We consider a two-player zero-sum-game in a bounded open domain Ω described as follows: at a point x Ω, Players I and II play an ε-step tug-of-war game with probability α, and with probability β (α + β = 1), a random point in the ball of radius ε centered at x is chosen. Once the game position reaches the boundary, Player II pays Player I the amount given by a fixed payoff function F. We give a detailed proof of the fact that the value functions of this game satisfy the Dynamic Programming Principle\\begin{equation*} u(x) = α{2} in ol Bε(x) u (y) + y in ol Bε(x) u (y) + β kint Bε(x) u(y) ud y, end equation* for x Ω with u(y) = F(y) when y Ω. This principle implies the existence of quasioptimal Markovian strategies. © 2010 EDP Sciences, SMAI. Fil:Rossi, J.D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2012 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_12928119_v18_n1_p81_Manfredi http://hdl.handle.net/20.500.12110/paper_12928119_v18_n1_p81_Manfredi
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Dirichlet boundary conditions
Dynamic Programming Principle
P-Laplacian
Stochastic games
Two-player zero-sum games
Dirichlet boundary condition
Dynamic Programming Principle
P-Laplacian
Stochastic game
Zero-sum game
Boundary conditions
Dynamic programming
spellingShingle Dirichlet boundary conditions
Dynamic Programming Principle
P-Laplacian
Stochastic games
Two-player zero-sum games
Dirichlet boundary condition
Dynamic Programming Principle
P-Laplacian
Stochastic game
Zero-sum game
Boundary conditions
Dynamic programming
Rossi, Julio Daniel
Dynamic Programming Principle for tug-of-war games with noise
topic_facet Dirichlet boundary conditions
Dynamic Programming Principle
P-Laplacian
Stochastic games
Two-player zero-sum games
Dirichlet boundary condition
Dynamic Programming Principle
P-Laplacian
Stochastic game
Zero-sum game
Boundary conditions
Dynamic programming
description We consider a two-player zero-sum-game in a bounded open domain Ω described as follows: at a point x Ω, Players I and II play an ε-step tug-of-war game with probability α, and with probability β (α + β = 1), a random point in the ball of radius ε centered at x is chosen. Once the game position reaches the boundary, Player II pays Player I the amount given by a fixed payoff function F. We give a detailed proof of the fact that the value functions of this game satisfy the Dynamic Programming Principle\\begin{equation*} u(x) = α{2} in ol Bε(x) u (y) + y in ol Bε(x) u (y) + β kint Bε(x) u(y) ud y, end equation* for x Ω with u(y) = F(y) when y Ω. This principle implies the existence of quasioptimal Markovian strategies. © 2010 EDP Sciences, SMAI.
author Rossi, Julio Daniel
author_facet Rossi, Julio Daniel
author_sort Rossi, Julio Daniel
title Dynamic Programming Principle for tug-of-war games with noise
title_short Dynamic Programming Principle for tug-of-war games with noise
title_full Dynamic Programming Principle for tug-of-war games with noise
title_fullStr Dynamic Programming Principle for tug-of-war games with noise
title_full_unstemmed Dynamic Programming Principle for tug-of-war games with noise
title_sort dynamic programming principle for tug-of-war games with noise
publishDate 2012
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_12928119_v18_n1_p81_Manfredi
http://hdl.handle.net/20.500.12110/paper_12928119_v18_n1_p81_Manfredi
work_keys_str_mv AT rossijuliodaniel dynamicprogrammingprinciplefortugofwargameswithnoise
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