Game Derandomization

Fuente: arXiv
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Autore principale: Epstein, Samuel
Natura: Preprint
Pubblicazione: 2024
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author Epstein, Samuel
author_facet Epstein, Samuel
contents Using Kolmogorov Game Derandomization, upper bounds of the Kolmogorov complexity of deterministic winning players against deterministic environments can be proved. This paper gives improved upper bounds of the Kolmogorov complexity of such players. This paper also generalizes this result to probabilistic games. This applies to computable, lower computable, and uncomputable environments. We characterize the classic even-odds game and then generalize these results to time bounded players and also to all zero-sum repeated games. We characterize partial game derandomization. But first, we start with an illustrative example of game derandomization, taking place on the island of Crete.
format Preprint
id arxiv_https___arxiv_org_abs_2405_16353
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Game Derandomization
Epstein, Samuel
Computational Complexity
Using Kolmogorov Game Derandomization, upper bounds of the Kolmogorov complexity of deterministic winning players against deterministic environments can be proved. This paper gives improved upper bounds of the Kolmogorov complexity of such players. This paper also generalizes this result to probabilistic games. This applies to computable, lower computable, and uncomputable environments. We characterize the classic even-odds game and then generalize these results to time bounded players and also to all zero-sum repeated games. We characterize partial game derandomization. But first, we start with an illustrative example of game derandomization, taking place on the island of Crete.
title Game Derandomization
topic Computational Complexity
url https://arxiv.org/abs/2405.16353