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researcher

Nicolas Marchesotti

6 papers hereh-index 216 citations7 works total

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

author position
  • middle author6

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.AI2

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedDeep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization

1 citations · 1 across the 6 of their papers we have counts for

collaborators
Showing cs.AIShow all

2 papers · 1 filter

cs.AI2026

Beyond Manual Planning: Seating Allocation for Large Organizations

Anton Ipsen, Michael Cashmore, Kirsty Fielding +4

We introduce the Hierarchical Seating Allocation Problem (HSAP) which addresses the optimal assignment of hierarchically structured organizational teams to physical seating arrange…

cs.AI2024★ 1 cited

Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization

Fernando Acero, Parisa Zehtabi, Nicolas Marchesotti +3

Portfolio optimization involves determining the optimal allocation of portfolio assets in order to maximize a given investment objective. Traditionally, some form of mean-variance…

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