Machine Learning & Training

What Is a Monte Carlo Method?

Monte Carlo methods are computational techniques that rely on repeated random sampling to estimate numerical results. In machine learning and reinforcement learning, they estimate quantities such as expected returns by averaging outcomes over many simulated episodes. They are useful when exact calculation is difficult or impossible.