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Conference Papers Year : 2016

A probabilistic max-plus numerical method for solving stochastic control problems

Abstract

We consider fully nonlinear Hamilton-Jacobi-Bellman equations associated to diffusion control problems involving a finite set-valued (or switching) control and possibly a continuum-valued control. We construct a lower complexity probabilistic numerical algorithm by combining the idempotent expansion properties obtained by McEneaney, Kaise and Han (2011) for solving such problems with a numerical probabilistic method such as the one proposed by Fahim, Touzi and Warin (2011) for solving some fully nonlinear parabolic partial differential equations. Numerical tests on a small example of pricing and hedging an option are presented.

Dates and versions

hal-01425344 , version 1 (03-01-2017)

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Cite

Marianne Akian, Eric Fodjo. A probabilistic max-plus numerical method for solving stochastic control problems. 55th Conference on Decision and Control (CDC 2016), Dec 2016, Las Vegas, United States. ⟨hal-01425344⟩
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