Monte Carlo Method

A broad class of computational techniques that use random sampling to estimate numerical results, particularly useful for problems that are too complex to solve analytically. In AI and reinforcement learning, Monte Carlo methods are used to estimate value functions and plan actions by simulating many possible future trajectories and averaging their outcomes.