$p$-adic Manifold Learning and Benchmark Tasks from Impartial Games

TL;DR

The paper introduces $p$-adic manifold learning, presents an algorithm for it, and proposes benchmark tasks derived from impartial games.

Contribution

It is the first to define $p$-adic manifold learning, develop an algorithm, and establish benchmark tasks based on impartial games.

Findings

Proposed a novel $p$-adic manifold learning algorithm.

Established benchmark tasks from impartial games.

Laid groundwork for future research in $p$-adic learning.

Abstract

We introduce $p$-adic manifold learning, propose an algorithm to solve it, and propose benchmark tasks from impartial games.