activity
20192025
most citedMean-field Markov decision processes with common noise and open-loop controls

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

math.PR2025

Gaussian Cumulative Prospect Theory

Mederic Motte

We propose a novel parametrization of Cumulative Prospect Theory (CPT), as developed by Daniel Kahneman and Amos Tversky, that yields an explicit gamble valuation formula for Gauss…

math.PR2023

Opinion dynamics in communities with major influencers and implicit social influence via mean-field approximation

Delia Coculescu, Médéric Motte, Huyên Pham

We study binary opinion formation in a large population where individuals are influenced by the opinions of other individuals. The population is characterised by the existence of (…

math.OC2022

Quantitative propagation of chaos for mean field Markov decision process with common noise

Médéric Motte, Huyên Pham

We investigate propagation of chaos for mean field Markov Decision Process with common noise (CMKV-MDP), and when the optimization is performed over randomized open-loop controls o…

math.OC2021

Optimal bidding strategies for digital advertising

Médéric Motte, Huyên Pham

With the emergence of new online channels and information technology, digital advertising tends to substitute more and more to traditional advertising by offering the opportunity t…

math.OC2019★ 1 cited

Mean-field Markov decision processes with common noise and open-loop controls

Médéric Motte, Huyên Pham

We develop an exhaustive study of Markov decision process (MDP) under mean field interaction both on states and actions in the presence of common noise, and when optimization is pe…