Monte Carlo variance reduction techniques

In a world where processing power comes in growing abundance, Monte Carlo methods thrive thanks to their intuitive simplicity and ease of implementation. Over the years, improved versions of the standard Monte Carlo have emerged reducing the error around the estimate for a given sample size. In this article, we will review the most popular methods and compare their individual efficiency through solving a toy game using Python.