---
title: BANKRL: Hierarchical Reinforcement Learning for Banks
url: https://www.ml-quant.com/papers/ssrn/5071840/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 5071840
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5071840
featured: 2025-01-08
citations: unknown
topic: Risk, Credit & Banking
---


# BANKRL: Hierarchical Reinforcement Learning for Banks

Hierarchical Reinforcement Learning for Banks: BANKRL, a new framework for bank management using multiagent reinforcement learning, balances profitability, risk, and regulatory compliance.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5071840
- Identifier: SSRN 5071840
- Released: 2024-12-25
- First featured: Quant Letter No. 81 (2025-01-08): https://www.ml-quant.com/issues/2025-01-08/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Risk, Credit & Banking

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