Deterministic Sub-exponential Algorithm for Discounted-sum Games with Unary Weights
Ali Asadi, Krishnendu Chatterjee, Raimundo Saona, Jakub Svoboda

TL;DR
This paper introduces a new analysis technique for a classical algorithm that achieves a deterministic sub-exponential runtime for solving discounted-sum games with unary weights, advancing understanding of their computational complexity.
Contribution
The paper presents a novel analysis method for the strategy iteration algorithm, providing a sub-exponential runtime bound for discounted-sum games with unary weights.
Findings
Achieves a runtime bound of $n^{O ( W^{1/4} \, \sqrt{n} )}$ for certain game graphs.
Provides a deterministic sub-exponential algorithm for games with constant or unary weights.
Advances the understanding of complexity bounds for discounted-sum games.
Abstract
Turn-based discounted-sum games are two-player zero-sum games played on finite directed graphs. The vertices of the graph are partitioned between player 1 and player 2. Plays are infinite walks on the graph where the next vertex is decided by a player that owns the current vertex. Each edge is assigned an integer weight and the payoff of a play is the discounted-sum of the weights of the play. The goal of player 1 is to maximize the discounted-sum payoff against the adversarial player 2. These games lie in NP and coNP and are among the rare combinatorial problems that belong to this complexity class and the existence of a polynomial-time algorithm is a major open question. Since breaking the general exponential barrier has been a challenging problem, faster parameterized algorithms have been considered. If the discount factor is expressed in unary, then discounted-sum games can be…
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Taxonomy
TopicsGuidance and Control Systems · Military Defense Systems Analysis
