theoretical-computer-science / Algorithmic game theory; games on graphs; complexity of NP and coNP problems

Quasipolynomial-time solution of mean-payoff games with binary weights

Claims a deterministic algorithm computing the exact set of vertices from which Max can force nonnegative liminf mean payoff, for arbitrary signed binary weights, self-loops and parallel edges, in 2O((log⁡(L+2))2)2^{O((\log(L+2))^2)} bit operations; a reduction gives exact rational values and optimal positional strategies for both players, energy-game minimum credits, and tropical feasibility tests within the same bound. A randomized companion of the same date gives a Las Vegas algorithm with a polynomial-time certificate check. It does NOT give a polynomial-time algorithm, which the paper names as a further improvement. Conflicting claim: Truffet (arXiv:2603.26423, and a 2025 HAL note) claims a strongly polynomial algorithm via tropical optimization; the randomized companion gives a small example on which the printed rule of version 4 loses the optimum, and makes no claim about the 2025 note.

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theoretical-computer-scienceSep 25, 2026Significance 42/100Registry: unreviewed

Quasipolynomial-time solution of mean-payoff games with binary weights

Prior state unknown→proved

Claims a deterministic algorithm computing the exact set of vertices from which Max can force nonnegative liminf mean payoff, for arbitrary signed binary weights, self-loops and parallel edges, in 2O((log⁡(L+2))2)2^{O((\log(L+2))^2)} bit operations; a reduction gives exact rational values and optimal positional strategies for both players, energy-game minimum credits, and tropical feasibility tests within the same bound. A random…

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Claims a deterministic algorithm computing the exact set of vertices from which Max can force nonnegative liminf mean payoff, for arbitrary signed binary weights, self-loops and parallel edges, in 2O((log⁡(L+2))2)2^{O((\log(L+2))^2)} bit operations; a reduction gives exact rational values and optimal positional strategies for both players, energy-game minimum credits, and tropical feasibility tests within the same bound. A randomized companion of the same date gives a Las Vegas algorithm with a polynomial-time certificate check. It does NOT give a polynomial-time algorithm, which the paper names as a further improvement. Conflicting claim: Truffet (arXiv:2603.26423, and a 2025 HAL note) claims a strongly polynomial algorithm via tropical optimization; the randomized companion gives a small example on which the printed rule of version 4 loses the optimum, and makes no claim about the 2025 note.

Claims a deterministic algorithm computing the exact set of vertices from which Max can force nonnegative liminf mean payoff, for arbitrary signed binary weights, self-loops and parallel edges, in 2O((log⁡(L+2))2)2^{O((\log(L+2))^2)} bit operations; a reduction gives exact rational values and optimal positional strategies for both players, energy-game minimum credits, and tropical feasibility tests within the same bound. A randomized companion of the same date gives a Las Vegas algorithm with a polynomial-time certificate check. It does NOT give a polynomial-time algorithm, which the paper names as a further improvement. Conflicting claim: Truffet (arXiv:2603.26423, and a 2025 HAL note) claims a strongly polynomial algorithm via tropical optimization; the randomized companion gives a small example on which the printed rule of version 4 loses the optimum, and makes no claim about the 2025 note.

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Quasipolynomial-time solution of mean-payoff games with binary weights — Mathematical Frontier Network