Jul 2026
AHRL-PM: Asynchronous Hierarchical Reinforcement Learning Framework for Enhanced Portfolio Management.
Ablation studies comparing the AHRL-PM model to a synchronous model and single-layer reinforcement learning (RL) approaches validated its superior performance in terms of profitability and risk-adjusted returns, while also highlighting significant reductions in training time and appropriate portfolio weight adjustments to respond to market dynamics and uncertainties, underscoring the model's efficiency and practical applicability.
Shuyu Liu, Tianxiang Cui, Yiran Li et al.
· IEEE Transactions on Neural... · 0 citations