scholarly journals A probabilistic approach to mean field games with major and minor players

2016 ◽  
Vol 26 (3) ◽  
pp. 1535-1580 ◽  
Author(s):  
René Carmona ◽  
Xiuneng Zhu
Keyword(s):  
Probabilistic Approach ◽  
Mean Field ◽  
Mean Field Games

scholarly journals A Probabilistic Approach to Extended Finite State Mean Field Games

2021 ◽  
Author(s):  
René Carmona ◽  
Peiqi Wang
Keyword(s):  
Nash Equilibrium ◽  
Continuous Time ◽  
Probabilistic Approach ◽  
Mean Field ◽  
Mean Field Games ◽  
Weak Formulation ◽  
Mean Field Game ◽  
Alternative Description ◽  
Finite State ◽  
The Mean

We develop a probabilistic approach to continuous-time finite state mean field games. Based on an alternative description of continuous-time Markov chains by means of semimartingales and the weak formulation of stochastic optimal control, our approach not only allows us to tackle the mean field of states and the mean field of control at the same time, but also extends the strategy set of players from Markov strategies to closed-loop strategies. We show the existence and uniqueness of Nash equilibrium for the mean field game as well as how the equilibrium of a mean field game consists of an approximative Nash equilibrium for the game with a finite number of players under different assumptions of structure and regularity on the cost functions and transition rate between states.

scholarly journals Probabilistic Approach to Finite State Mean Field Games

2018 ◽  
Vol 81 (2) ◽  
pp. 253-300 ◽  
Author(s):  
Alekos Cecchin ◽  
Markus Fischer
Keyword(s):  
Probabilistic Approach ◽  
Mean Field ◽  
Mean Field Games ◽  
Finite State

scholarly journals Cemracs 2017: numerical probabilistic approach to MFG

2019 ◽  
Vol 65 ◽  
pp. 84-113
Author(s):  
Andrea Angiuli ◽  
Christy V. Graves ◽  
Houzhi Li ◽  
Jean-François Chassagneux ◽  
François Delarue ◽  
...  
Keyword(s):  
Optimization Problems ◽  
Continuation Method ◽  
Large Population ◽  
Probabilistic Approach ◽  
Mean Field ◽  
Picard Iteration ◽  
Mean Field Games ◽  
Benchmark Problems ◽  
Control Problems ◽  
Great Success

This project investigates numerical methods for solving fully coupled forward-backward stochastic differential equations (FBSDEs) of McKean-Vlasov type. Having numerical solvers for such mean field FBSDEs is of interest because of the potential application of these equations to optimization problems over a large population, say for instance mean field games (MFG) and optimal mean field control problems. Theory for this kind of problems has met with great success since the early works on mean field games by Lasry and Lions, see [29], and by Huang, Caines, and Malhamé, see [26]. Generally speaking, the purpose is to understand the continuum limit of optimizers or of equilibria (say in Nash sense) as the number of underlying players tends to infinity. When approached from the probabilistic viewpoint, solutions to these control problems (or games) can be described by coupled mean field FBSDEs, meaning that the coefficients depend upon the own marginal laws of the solution. In this note, we detail two methods for solving such FBSDEs which we implement and apply to five benchmark problems. The first method uses a tree structure to represent the pathwise laws of the solution, whereas the second method uses a grid discretization to represent the time marginal laws of the solutions. Both are based on a Picard scheme; importantly, we combine each of them with a generic continuation method that permits to extend the time horizon (or equivalently the coupling strength between the two equations) for which the Picard iteration converges.

scholarly journals Lax connection and conserved quantities of quadratic mean field games

2021 ◽  
Vol 62 (8) ◽  
pp. 083302
Author(s):  
Thibault Bonnemain ◽  
Thierry Gobron ◽  
Denis Ullmo
Keyword(s):  
Mean Field ◽  
Mean Field Games ◽  
Conserved Quantities ◽  
Quadratic Mean

scholarly journals Quantum Mean-Field Games with the Observations of Counting Type

Games ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 7
Author(s):  
Vassili N. Kolokoltsov
Keyword(s):  
Game Theory ◽  
Nash Equilibrium ◽  
Open Problem ◽  
Existence And Uniqueness ◽  
Existence Of Solutions ◽  
Mean Field ◽  
Mean Field Games ◽  
Quantum Game ◽  
Quantum Games ◽  
Interesting Open Problem

Quantum games and mean-field games (MFG) represent two important new branches of game theory. In a recent paper the author developed quantum MFGs merging these two branches. These quantum MFGs were based on the theory of continuous quantum observations and filtering of diffusive type. In the present paper we develop the analogous quantum MFG theory based on continuous quantum observations and filtering of counting type. However, proving existence and uniqueness of the solutions for resulting limiting forward-backward system based on jump-type processes on manifolds seems to be more complicated than for diffusions. In this paper we only prove that if a solution exists, then it gives an ϵ-Nash equilibrium for the corresponding N-player quantum game. The existence of solutions is suggested as an interesting open problem.

Linear–Quadratic Time-Inconsistent Mean Field Games

2013 ◽  
Vol 3 (4) ◽  
pp. 537-552 ◽  
Author(s):  
A. Bensoussan ◽  
K. C. J. Sung ◽  
S. C. P. Yam
Keyword(s):  
Mean Field ◽  
Mean Field Games ◽  
Linear Quadratic ◽  
Time Inconsistent
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