|Author(s):||Marcin Jurdzinski and Rahul Savani|
The values of a two-player zero-sum binary discounted game are characterized by a P-matrix linear complementarity problem (LCP). Simple formulas are given to describe the data of the LCP in terms of the game graph, discount factor, and rewards. Hence it is shown that the unique sink orientation (USO) associated with this LCP coincides with the valuation USO associated with the discounted game. As an application of this fact, it is shown that Murty's least index method for P-matrix LCPs corresponds to both known and new variants of strategy improvement algorithms for discounted games.
|websites: Arnold Beckmann||
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