Author

Yeoneung Kim

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Preprint Aug 2026

Self-Consistent Adjoint Policy Iteration for Constrained Dynamic Portfolio Choice

In the high-precision $50$--$50$ occupancy/broad-anchor design of a three-factor, fifty-asset benchmark, current-policy re-evaluation outperforms matched pooled refinement under the on-policy and broad evaluation laws.

Jeonggyu Huh, Yeoneung Kim, Seungwon Jeong · 0 citations

#artificial intelligence Preprint May 2026

Monotone Neural Policy Iteration for High-Dimensional First-Order Hamilton--Jacobi--Bellman Equations

A neural semi-discrete method for high-dimensional first-order Hamilton-Jacobi-Bellman (HJB) equations with known or learned dynamics with whole-space well-posedness for measurable feedbacks, an explicit Poisson-tail bound on the numerical domain of dependence, and boundary-free localization is analyzed.

Minseok Kim, Yeongjong Kim, Namkyeong Cho et al. · 1 citation · ⚡1