Reinforcement Learning in Financial Decision Making: A Systematic Review of Performance, Challenges, and Implementation Strategies

By Mohammad Rezoanul Hoque, Md Meftahul Ferdaus, M. Kabir Hassan

Published 2025-12-11

Everscope rating

1673.2

Relevance to quantitative trading

9 / 10

Implementation complexity

8 / 10

Reproducibility

3 / 5

About this paper

Methodology: Systematic Literature Review with Meta-Analysis and Synthetic Data Validation. Problem types: Reinforcement Learning, Portfolio Optimization, Market Making, Algorithmic Execution, Risk Management, Time Series Forecasting, Optimization, Multi-task Learning, Transfer Learning, Online Learning, Anomaly Detection, Dimensionality Reduction.

arXiv:2512.10913 · Paper rankings

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