Results 131 to 140 of about 9,860 (188)
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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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arXiv.org
We analyze independent policy-gradient (PG) learning in $N$-player linear-quadratic (LQ) stochastic differential games. Each player employs a distributed policy that depends only on its own state and updates the policy independently using the gradient of
Philipp Plank, Yufei Zhang
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We analyze independent policy-gradient (PG) learning in $N$-player linear-quadratic (LQ) stochastic differential games. Each player employs a distributed policy that depends only on its own state and updates the policy independently using the gradient of
Philipp Plank, Yufei Zhang
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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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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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Two-player zero-sum stochastic differential games with regime switching
at - Automatisierungstechnik, 2020This paper is concerned with the two-player zero-sum stochastic differential game in a regime switching model with an infinite horizon. The state of the system is characterized by a number of diffusions coupled by a continuous-time finite-state Markov ...
Siyu Lv
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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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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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2014
In this chapter, we will deal with zero-sum two-player time-homogeneous stochastic differential games and viscosity solutions of the Isaacs equations arising from such games, via the dynamic programming principle.In Sect. 4.1, we are concerned with basic concepts and definitions and we introduce stochastic differential games, referring to (Controlled ...
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In this chapter, we will deal with zero-sum two-player time-homogeneous stochastic differential games and viscosity solutions of the Isaacs equations arising from such games, via the dynamic programming principle.In Sect. 4.1, we are concerned with basic concepts and definitions and we introduce stochastic differential games, referring to (Controlled ...
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International Journal of Robust and Nonlinear Control, 2019
In this paper, we consider risk‐sensitive optimal control and differential games for stochastic differential delayed equations driven by Brownian motion. The problems are related to robust stochastic optimization with delay due to the inherent feature of
Jun Moon
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In this paper, we consider risk‐sensitive optimal control and differential games for stochastic differential delayed equations driven by Brownian motion. The problems are related to robust stochastic optimization with delay due to the inherent feature of
Jun Moon
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The Existence of Game Value for Path-dependent Stochastic Differential Game
SIAM Journal on Control and Optimization, 2017Summary: In this paper we study a two-player zero-sum stochastic differential game for a path-dependent stochastic system under a recursive path-dependent cost functional. Due to the typical non-Markovian structure, the game value is a random field. Dividing the time horizontal into small intervals, we approximate the path-dependent game by a series of
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