  We prove stochastic homogenization for a class of non-convex and non-coercive
first-order Hamilton-Jacobi equations in a finite-range of dependence
environment for Hamiltonians that can be expressed by a max-min formula. We
make use of the representation of the solution as a value function of a
differential game to implement a game-theoretic approach to the homogenization
problem.
