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Human–AI Collaboration in Risk- and Uncertainty-Aware Portfolio Reinforcement Learning: A Critical Review

Financial markets are characterized by non-stationarity, regime shifts, and complex cross-asset interactions, which challenge traditional portfolio optimization and motivate reinforcement learning (RL) for adaptive decision-making. However, many RL-based approaches remain predominantly return-centri...

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Hoofdauteurs: Firdaous Khemlichi, Youness Idrissi Khamlichi, Safae Elhaj Ben Ali
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2026-05-01
Reeks:Information
Onderwerpen:
reinforcement learning
portfolio optimization
risk-aware decision-making
uncertainty quantification
human–AI collaboration
AI-augmented decision support
Online toegang:https://www.mdpi.com/2078-2489/17/5/476
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