Diffusion-Augmented Reinforcement Learning for Robust Portfolio Optimization under Stress Scenarios

By Himanshu Choudhary, Arishi Orra, Manoj Thakur

Published 2025-10-08

Everscope rating

1672.4

Relevance to quantitative trading

9 / 10

Implementation complexity

7 / 10

Reproducibility

3 / 5

About this paper

Methodology: Diffusion-Augmented Reinforcement Learning (DARL). Problem types: Portfolio Optimization, Reinforcement Learning, Generative Modeling, Risk Management.

arXiv:2510.07099 · Paper rankings

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