U. D. Acharya

Systematic review of reinforcement learning for automated equity portfolio management from single agent to multi agent systems

The systematic development of single-agent to multi-agent ensemble systems shows great improvements in algorithmic and architecture of DRL-based portfolio management, and the research in the future focuses on the importance of explainable AI integration, meta-learning market regime adaptation, and consistent evaluation systems in reproducible research.