Reinforcement Learning Paycheck Optimization for Multivariate Financial Goals

arXiv:2403.06011v1 Announce Type: new
Abstract: We study paycheck optimization, which examines how to allocate income in order to achieve several competing financial goals. For paycheck optimization, a quantitative methodology is missing, due to a lack of a suitable problem formulation. To deal with this issue, we formulate the problem as a utility maximization problem. The proposed formulation is able to (i) unify different financial goals; (ii) incorporate user preferences regarding the goals; (iii) handle stochastic interest rates. The proposed formulation …

abstract arxiv cs.lg deal financial income issue math.oc methodology multivariate optimization quantitative reinforcement reinforcement learning study type utility