Deep reinforcement learning for portfolio allocation: a comparative study on five Vietnamese equities
This study applies deep reinforcement learning (DRL) to multi-asset portfolio optimization in the Vietnamese stock market, aiming to evaluate the performance and stability of different DRL algorithms under emerging market conditions. Seven algorithms – A2C, proximal policy optimization (PPO), deep determinis...