Various algorithms for numerical solutions of discounted stochastic games are presented. For zero-sum two-person games, the existing algorithms are compared on randomly generated games and a hybrid algorithm is proposed. For general-sum N-person games, a new mathematical programming formulation which permits the numerical solution of a game by using a non-linear programming code is presented.