10 citations · 11 across the 2 of their papers we have counts for
2 papers
q-fin.TR2024★ 10 cited
Deep reinforcement learning with positional context for intraday trading
Sven Goluža, Tomislav Kovačević, Tessa Bauman +1
Deep reinforcement learning (DRL) is a well-suited approach to financial decision-making, where an agent makes decisions based on its trading strategy developed from market observa…
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…