activity
20072018
most citedBackward stochastic differential equation driven by a marked point process: An elementary approach with an application to optimal control

47 citations · 64 across the 15 of their papers we have counts for

collaborators

19 papers

math.OC2018

Optimal switching problems with an infinite set of modes: an approach by randomization and constrained backward SDEs

Marco Fuhrman, Marie-Amélie Morlais

We address a general optimal switching problem over finite horizon for a stochastic system described by a differential equation driven by Brownian motion. The main novelty is the f…

math.OC2017★ 1 cited

Backward SDEs and infinite horizon stochastic optimal control

F. Confortola, A. Cosso, M. Fuhrman

We study an optimal control problem on infinite horizon for a controlled stochastic differential equation driven by Brownian motion, with a discounted reward functional. The equati…

math.OC2016

Linear-quadratic optimal control under non-Markovian switching

Fulvia Confortola, Marco Fuhrman, Giuseppina Guatteri +1

We study a finite-dimensional continuous-time optimal control problem on finite horizon for a controlled diffusion driven by Brownian motion, in the linear-quadratic case. We admit…

math.PR2016

Randomized filtering and Bellman equation in Wasserstein space for partial observation control problem

Elena Bandini, Andrea Cosso, Marco Fuhrman +1

We study a stochastic optimal control problem for a partially observed diffusion. By using the control randomization method in [4], we prove a corresponding randomized dynamic prog…

math.PR2015

Randomization method and backward SDEs for optimal control of partially observed path-dependent stochastic systems

Elena Bandini, Andrea Cosso, Marco Fuhrman +1

We consider a unifying framework for stochastic control problem including the following features: partial observation, path-dependence (both with respect to the state and the contr…

math.PR2015

Stochastic maximum principle for optimal control of a class of nonlinear SPDEs with dissipative drift

Marco Fuhrman, Carlo Orrieri

We prove a version of the stochastic maximum principle, in the sense of Pontryagin, for the finite horizon optimal control of a stochastic partial differential equation driven by a…