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From the 1 of 26 papers with an AI index.

most citedFaster Hamiltonian Monte Carlo by Learning Leapfrog Scale: a self-calibrated randomized solution

13 citations

26 papers

math.OC2026

Optimal Control with Expectation Constraint in a Smooth Boundary Case

Bruno Bouchard, Lucas Gnecco Heredia, Ludovic Moreau +1

As in Bouchard et al. (2010) and Bouchard and Nutz (2014), we study a utility maximization problem with expectation constraint. We first consider a uniformly elliptic case in which…

math.AP2026

Analysis on spaces of measures

Charles Bertucci

This work presents analytical tools for studying functions defined on spaces of measures, together with two applications: mean field game master equations and first order Hamilton-…

math.OC2026

Infinite horizon stochastic optimal control with sign-changing discount factor

Charles Bertucci, Jean-Michel Lasry, Pierre-Louis Lions

The paper analyzes an infinite‑horizon stochastic optimal control problem where the discount factor can be positive or negative depending on the state, using the associated Hamilto…

math-ph2026

Thermal boundary conditions in fractional superdiffusion of energy

Tomasz Komorowski, Stefano Olla

We study heat conduction in a one-dimensional {finite}, unpinned chain of atoms perturbed by stochastic momentum exchange and coupled to Langevin heat baths at {possibly} distinct…

math.AP2026

Non-linear Stegall's lemma and general Hamilton-Jacobi-Bellman equations on Wasserstein spaces

Charles Bertucci, Pierre-Louis Lions

We present a comparison principle for unbounded viscosity solutions to Hamilton-Jacobi equations on Wasserstein spaces of probability measures over . In addition to the use o…

math.AP2026

Uniqueness and non-uniquess for the mean field control of fisheries

Greta Lamonaca, Idriss Mazari, Grégoire Nadin

We study a Mean Field Control system arising in the management of fisheries with a special emphasis on non-uniqueness issues. Namely, we focus on a situation where a group of playe…