Deep Learning for Dynamic Programming with Recursive Utility

By Xianhua Peng, Wu Guo

Published 2026-07-07

Everscope rating
2013.4
Relevance to quantitative trading
8 / 10
Implementation complexity
8 / 10
Reproducibility
3 / 5

About this paper

Methodology: Certainty Equivalent Learning (CEL). Problem types: Optimization, Portfolio Optimization, Reinforcement Learning, Risk Management, Dynamic Programming, Stochastic Control.

arXiv:2607.04278 ยท Paper rankings

Open the interactive Everscope explorer for full analysis, charts, and paper battles.