Portfolio Optimization with Deep Reinforcement Learning KU Leuven
The research proposal aims to study the use of artificial intelligence models to improve portfolio optimization. Portfolio optimization involves allocating funds to different assets to achieve an investment objective. The traditional approach to portfolio optimization, known as Modern Portfolio Theory, considers expected return and variance of assets, but often leads to non-optimal solutions. Researchers have tried to modify the theory by ...