Robust Bayesian Dynamic Programming for On-policy Risk-sensitive Reinforcement Learning

By Shanyu Han, Yangbo He, Yang Liu

Published 2026-01-01

Everscope rating

1918.5

Relevance to quantitative trading

8 / 10

Implementation complexity

8 / 10

Reproducibility

3 / 5

About this paper

Methodology: Bayesian Dynamic Programming with Double-Layered Risk Measures (RSRMDP). Problem types: Reinforcement Learning, Risk Management, Portfolio Optimization, Optimization, Online Learning, Sequential Decision Making, Option Hedging, Inventory Management, Robust Decision Making.

arXiv:2512.24580 · Paper rankings

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