---
title: A&I Trader: Integrating Industry Effect into Reinforcement Learning for Balanced Portfolio Management
url: https://www.ml-quant.com/papers/ssrn/4639685/
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 4639685
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4639685
featured: 2023-11-29
citations: 0
topic: Trading, Microstructure & Execution
---


# A&I Trader: Integrating Industry Effect into Reinforcement Learning for Balanced Portfolio Management

Reinforcement Learning for Portfolio Management: AI Trader, a model based on reinforcement learning, shows superior risk-gain performance in the Chinese market by incorporating industry effects.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4639685
- Identifier: SSRN 4639685
- Released: 2023-08-01
- First featured: Quant Letter No. 27 (2023-11-29): https://www.ml-quant.com/issues/2023-11-29/
- Citations (Semantic Scholar): 0
- Published in: not yet
- Topic: Trading, Microstructure & Execution

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