The Recursive Least Squares (RLS) Algorithm is an adaptive filter algorithm used for online parameter estimation, which updates estimates of parameters recursively to minimize the sum of the squares of the differences between observed and predicted values. It is particularly effective in environments where data is continuously streaming, as it efficiently updates estimates without needing to store past data.