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20152026
most citedMarket making and incentives design in the presence of a dark pool: a deep reinforcement learning approach

8 citations · 9 across the 9 of their papers we have counts for

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7 papers · 1 filter

math.PR2025

2BSDE with uncertain horizon and application to stochastic control in erratic environments

Alberto Gennaro, Thibaut Mastrolia

We investigate the existence and uniqueness of non-Markovian second-order backward stochastic differential equations with an uncertain terminal horizon and establish comparison pri…

math.PR2021

On Z-mean reflected BSDEs

Joffrey Derchu, Thibaut Mastrolia

In this paper we provide conditions for the existence of supersolutions to BSDEs with mean-reflections on the component. We show that, contrary to BSDEs with mean-reflections o…

math.PR2019

Scaling limit for stochastic control problems in population dynamics

Paul Jusselin, Thibaut Mastrolia

Going from a scaling approach for birth/death processes, we investigate the scaling limit of solutions to non-Markovian stochastic control problems by studying the convergence of s…

math.PR2019

Regulation of renewable resource exploitation

Idris Kharroubi, Thomas Lim, Thibaut Mastrolia

We investigate the impact of a regulation policy imposed on an agent exploiting a possibly renewable natural resource. We adopt a principal-agent model in which the Principal looks…

math.PR2019

Mean-field moral hazard for optimal energy demand response management

Romuald Elie, Emma Hubert, Thibaut Mastrolia +1

We study the problem of demand response contracts in electricity markets by quantifying the impact of considering a mean-field of consumers, whose consumption is impacted by a comm…

math.PR2016

Density analysis of non-Markovian BSDEs and applications to biology and finance

Thibaut Mastrolia

In this paper, we provide conditions which ensure that stochastic Lipschitz BSDEs admit Malliavin differentiable solutions. We investigate the problem of existence of densities for…