Portfolio Optimization using Deep Reinforcement Learning models
Portfolio optimization involves selecting assets to maximize risk-adjusted returns, typically using linear methods like Mean-Variance Optimization (MVO). However, such approaches may not fully capture the complexities of financial markets. This study leverages recent advances in machine learning, specifically reinforcement learning with deep neural networks, to identify alternative methods that ma