Results 31 to 40 of about 39,858 (272)
Stochastic Differential Games in a Non-Markovian Setting [PDF]
Stochastic differential games are considered in a non-Markovian setting. Typically, in stochastic differential games the modulating process of the diffusion equation describing the state flow is taken to be Markovian.
Bayraktar, Erhan, Poor, H. Vincent
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We consider the indefinite, linear-quadratic, mean-field-type stochastic zero-sum differential game for jump-diffusion models (I-LQ-MF-SZSDG-JD).
Jun Moon, Wonhee Kim
doaj +1 more source
Nowadays, electrical power grids are facing increased penetration of renewable energy sources (RES), which result in increasing level of randomness and uncertainties for its operational quality.
Souhil Mouassa +3 more
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Backward-forward linear-quadratic mean-field Stackelberg games
This paper studies a controlled backward-forward linear-quadratic-Gaussian (LQG) large population system in Stackelberg games. The leader agent is of backward state and follower agents are of forward state.
Kehan Si, Zhen Wu
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Smale Strategies for Network Prisoner's Dilemma Games [PDF]
Smale's approach \cite{Smale80} to the classical two-players repeated Prisoner's Dilemma game is revisited here for $N$-players and Network games in the framework of Blackwell's approachability, stochastic approximations and differential ...
Behrstock, Kashi +2 more
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Stochastic optimal control and stochastic differential Games [PDF]
Η παρούσα διατριβή χωρίζεται σε δύο μέρη. Το πρώτο μέρος ξεκινάει με την κατασκευή μίας νέας προσέγγισης για την μελέτη του προβλήματος του καθορισμού της βέλτιστης επενδυτικής πολιτικής κάτω από την ύπαρξη εσωτερικής πληροφόρησης. Η προσέγγιση αυτή βασίζεται κυρίως σε τεχνικές της θεωρίας στοχαστικού ελέγχου και πιο συγκεκριμένα στην χρήση της ...
openaire +1 more source
Deep fictitious play for stochastic differential games [PDF]
In this paper, we apply the idea of fictitious play to design deep neural networks (DNNs), and develop deep learning theory and algorithms for computing the Nash equilibrium of asymmetric $N$-player non-zero-sum stochastic differential games, for which we refer as \emph{deep fictitious play}, a multi-stage learning process.
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N-Player Stochastic Differential Games [PDF]
The paper presents conditions which guarantee that the control strategies adopted by N players constitute an efficient solution, an equilibrium, or a core solution. The system dynamics are described by an Ito equation, and all players have perfect information.
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Stackelberg strategies in linear-quadratic stochastic differential games [PDF]
This paper obtains the Stackelberg solution to a class of two-player stochastic differential games described by linear state dynamics and quadratic objective functionals.
Bagchi, A., Basar, T.
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This paper is concerned with a non-zero sum differential game problem of an anticipated forward-backward stochastic differential delayed equation under partial information.
Yi Zhuang
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