Preprint in the OpenAI Math release
Deterministic quasipolynomial-time mean-payoff games
OpenAI
Abstract
We give a deterministic algorithm that computes the complete zero-threshold winning set of a finite mean-payoff game with arbitrary signed integer edge weights encoded in binary. For total explicit input length L, it uses bit operations. A reduction also computes the exact rational value at every vertex and globally optimal positional strategies for both players within the same quasipolynomial bound.
open until 1 Jan 2028
est. 50% chance this result is independently verified by the end of 2027.
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