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cs.LG2026
Variational Quantum Circuit-Based Reinforcement Learning for Dynamic Portfolio Optimization
Vincent Gurgul, Ying Chen, Stefan Lessmann
This paper presents a Quantum Reinforcement Learning (QRL) solution to the dynamic portfolio optimization problem based on Variational Quantum Circuits. The implemented QRL approac…
cs.LG2024
Uplift modeling with continuous treatments: A predict-then-optimize approach
Simon De Vos, Christopher Bockel-Rickermann, Stefan Lessmann +1
The goal of uplift modeling is to recommend actions that optimize specific outcomes by determining which entities should receive treatment. One common approach involves two steps:…