arXiv · 1107.1653
Multigrid methods for two-player zero-sum stochastic games
Abstract
We present a fast numerical algorithm for large scale zero-sum stochastic games with perfect information, which combines policy iteration and algebraic multigrid methods. This algorithm can be applied either to a true finite state space zero-sum two player game or to the discretization of an Isaacs equation. We present numerical tests on discretizations of Isaacs equations or variational inequalities. We also present a full multi-level policy iteration, similar to FMG, which allows to improve substantially the computation time for solving some variational inequalities.
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Marianne Akian, Sylvie Detournay. 2011-07-08. Multigrid methods for two-player zero-sum stochastic games. https://doi.org/10.1002/nla.1815
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