The article explores how to make smart investment decisions when we don't know the exact returns of risky assets. By combining Bayesian learning and dynamic programming, the researchers developed models to help investors choose the best portfolio, sell assets efficiently, and transition between different investments. This approach allows for more flexibility than traditional methods and considers both asset liquidity and uncertainty in expected returns. The findings offer new insights into optimizing investment strategies in uncertain markets.