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Tessa Bauman

2 papers hereh-index 215 citations7 works total

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • q-fin.PM1
  • q-fin.TR1

identity via Semantic Scholar / OpenAlex

most citedDeep reinforcement learning with positional context for intraday trading

10 citations · 11 across the 2 of their papers we have counts for

collaborators
Showing q-fin.PMShow all

1 paper · 1 filter

q-fin.PM2023★ 1 cited

Deep Reinforcement Learning for Robust Goal-Based Wealth Management

Tessa Bauman, Bruno Gašperov, Stjepan Begušić +1

Goal-based investing is an approach to wealth management that prioritizes achieving specific financial goals. It is naturally formulated as a sequential decision-making problem as…

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