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researcher

Sandrine Ungari

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • q-fin.PM1

identity via Semantic Scholar / OpenAlex

collaborators

3 papers

cs.LG2020

Bridging the gap between Markowitz planning and deep reinforcement learning

Eric Benhamou, David Saltiel, Sandrine Ungari +1

While researchers in the asset management industry have mostly focused on techniques based on financial and risk planning techniques like Markowitz efficient frontier, minimum vari…

cs.LG2020

AAMDRL: Augmented Asset Management with Deep Reinforcement Learning

Eric Benhamou, David Saltiel, Sandrine Ungari +2

Can an agent learn efficiently in a noisy and self adapting environment with sequential, non-stationary and non-homogeneous observations? Through trading bots, we illustrate how De…

q-fin.PM2020

Time your hedge with Deep Reinforcement Learning

Eric Benhamou, David Saltiel, Sandrine Ungari +1

Can an asset manager plan the optimal timing for her/his hedging strategies given market conditions? The standard approach based on Markowitz or other more or less sophisticated fi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.