19th AIAI 2023, 14 - 17 June 2023, León, Spain

Deep Reinforcement Learning for Robust Goal-Based Wealth Management

Tessa Bauman, Bruno Gašperov, Stjepan Begušić, Zvonko Kostanjčar


  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 it requires choosing the appropriate investment until a goal is achieved. Consequently, reinforcement learning, a machine learning technique appropriate for sequential decision-making, offers a promising path for optimizing these investment strategies. In this paper, a novel approach for robust goal-based wealth management based on deep reinforcement learning is proposed. The experimental results indicate its superiority over several goal-based wealth management benchmarks on both simulated and historical market data.  

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