Results 221 to 230 of about 40,034 (267)
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Stochastic differential portfolio games
Journal of Applied Probability, 1998We study stochastic dynamic investment games in continuous time between two investors (players) who have available two different, but possibly correlated, investment opportunities. There is a single payoff function which depends on both investors’ wealth processes.
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Optimal Play in a Stochastic Differential Game
SIAM Journal on Control and Optimization, 1981This paper considers play in a two-person zero-sum differential game where the dynamics are given by a differential equation with additive white noise. Feedback strategies are employed. Standard results from control theory show that the maximizing player has an optimal response to any pre-announced strategy of the minimizing player.
Elliott, R. J., Davis, M. H. A.
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Switching Games of Stochastic Differential Systems
SIAM Journal on Control and Optimization, 2007A two-player, zero-sum, switching game is formulated for general stochastic differential systems and is studied using a combined dynamic programming and viscosity solution approach. The existence of the game value is proved. For the proof of the related dynamic programming principle (DDP) for the lower and upper value functions, the measurability ...
Tang, S, Hou, SH
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Numerical Approximations for Stochastic Differential Games
SIAM Journal on Control and Optimization, 2002The Markov chain approximation method [see for example \textit{H. J. Kushner} and \textit{P. Dupuis}, ``Numerical methods for stochastic control problems in continuous time'' (2001; Zbl 0968.93005)] is a widely used method for the numerical solution for standard forms of stochastic control problems with reflected-jump diffusion models, and converges ...
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Stochastic Differential Game Techniques
1981The paper deals with the theory of stochastic differential games and includes a comprehensive review of the subject under discussion. The main aspects of stochastic differential games discussed in the paper are: problem formulation, solution concepts and the difficulties encountered in trying to obtain a solution.
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2019
In this section we present the dynamic programming approach to stochastic differential games. We only present the case for zero sum games. For the extension to non-zero sum games, we refer to [MO].
Bernt Øksendal, Agnès Sulem
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In this section we present the dynamic programming approach to stochastic differential games. We only present the case for zero sum games. For the extension to non-zero sum games, we refer to [MO].
Bernt Øksendal, Agnès Sulem
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Transboundary Emission Under Stochastic Differential Game
International Game Theory Review, 2020In this study we provide a more robust transboundary industrial pollution reduction strategy for global emission collaborations. We consider the dynamics of each country’s quantity of pollution as a Brownian motion with Jumps to capture the systematic jumps caused by surprise effects arising from policy uncertainties within the economy. When the output
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On a Differential Game in a Stochastic System
Proceedings of the Steklov Institute of Mathematics, 2020We study the game problem of approach for a system whose dynamics is described by a stochastic differential equation in a Hilbert space. The main assumption on the equation is that the operator multiplying the system state generates a strongly continuous semigroup (a semigroup of class $$C_{0}$$ ).
L. A. Vlasenko +2 more
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The Existence of Value in Stochastic Differential Games
SIAM Journal on Control and Optimization, 1976Using the techniques of Davis and Varaiya [3], [4] a two-person zero sum differential game is considered, whose dynamics are interpreted using the Girsanov measure transformation method. If the Isaacs condition holds it is shown that the upper and lower values of the game are equal and there is a saddle point in feedback strategies.
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Adaptive estimation of stochastic differential games
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012We consider online estimation in the classic linear-quadratic dynamic stochastic zero sum two player game with unknown system parameters. We construct a fixed gain adaptive algorithm and give a stochastic averaging analysis of its behaviour. Previous stochastic work has not treated fixed gain algorithms which are needed in practice to enable tracking.
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