Advances in Portfolio Optimization from Mean-Variance to Reinforcement Learning
Portfolio optimization is a fundamental problem in finance which has normally been addressed by mean-variance frameworks and their extensions. However, these methods rely on assumptions such as normally distributed returns and covariance estimates which often fail to capture the dynamics of real markets. Advances in ma...