$p$-adic Manifold Learning and Benchmark Tasks from Impartial Games
Machine Learning
2026-05-07 v1 Number Theory
Authors:
Tomoki Mihara
Abstract
We introduce p-adic manifold learning, propose an algorithm to solve it, and propose benchmark tasks from impartial games.
Keywords
Cite
@article{arxiv.2605.04374,
title = {$p$-adic Manifold Learning and Benchmark Tasks from Impartial Games},
author = {Tomoki Mihara},
journal= {arXiv preprint arXiv:2605.04374},
year = {2026}
}
Related papers
View all related →
Combinatorics · Mathematics
Impartial Scoring Play Games
Fraser Stewart
2012-08-07
Computer Science and Game Theory · Computer Science
A Manifold of Polynomial Time Solvable Bimatrix Games
Joseph L. Heyman
2019-04-10
Computer Science and Game Theory · Computer Science
A symmetric recursive algorithm for mean-payoff games
Pierre Ohlmann
2026-03-10
Artificial Intelligence · Computer Science
Towards Game-Playing AI Benchmarks via Performance Reporting Standards
Vanessa Volz, Boris Naujoks
2020-07-07
Systems and Control · Computer Science
Payoff-based Inhomogeneous Partially Irrational Play for Potential Game Theoretic Cooperative Control of Multi-agent Systems
Tatsuhiko Goto, Takeshi Hatanaka, Masayuki Fujita
2011-07-26
Logic in Computer Science · Computer Science
Solving Mean-Payoff Games via Quasi Dominions
Massimo Benerecetti, Daniele Dell'Erba, Fabio Mogavero
2019-07-16
Computer Science and Game Theory · Computer Science
Learning Cooperative Games
Maria-Florina Balcan, Ariel D. Procaccia, Yair Zick
2016-10-11
Machine Learning · Computer Science
A Continual Offline Reinforcement Learning Benchmark for Navigation Tasks
Anthony Kobanda, Odalric-Ambrym Maillard, Rémy Portelas
2026-02-02
Logic in Computer Science · Computer Science
The IMP game: Learnability, approximability and adversarial learning beyond $\Sigma^0_1$
Michael Brand, David L. Dowe
2016-02-10
Computer Science and Game Theory · Computer Science
Learning Recommender Mechanisms for Bayesian Stochastic Games
Bengisu Guresti, Chongjie Zhang, Yevgeniy Vorobeychik
2025-05-30
Machine Learning · Computer Science
Learning Parameterized Skills
Bruno Da Silva, George Konidaris, Andrew Barto
2015-03-20
Machine Learning · Computer Science
Learning Adversarially Fair and Transferable Representations
David Madras, Elliot Creager, Toniann Pitassi, Richard Zemel
2018-10-23
Combinatorics · Mathematics
Categories of impartial rulegraphs and gamegraphs
Bojan Bašić, Paul Ellis, Dana C. Ernst, Danijela Popović +1
2024-11-05
Machine Learning · Computer Science
Controllable Invariance through Adversarial Feature Learning
Qizhe Xie, Zihang Dai, Yulun Du, Eduard Hovy +1
2018-01-30
Machine Learning · Computer Science
Deep Apprenticeship Learning for Playing Games
Dejan Markovikj
2022-05-18
Computer Science and Game Theory · Computer Science
Mean-payoff Games with Partial Observation
Paul Hunter, Arno Pauly, Guillermo A. Pérez, Jean-François Raskin
2017-10-10
Machine Learning · Computer Science
Cleaning up the neighborhood: A full classification for adversarial partial monitoring
Tor Lattimore, Csaba Szepesvari
2018-05-24
Computer Science and Game Theory · Computer Science
Gradient Methods for Solving Stackelberg Games
Roi Naveiro, David Ríos Insua
2019-10-25
Machine Learning · Computer Science
Adversarial Random Forest Classifier for Automated Game Design
Thomas Maurer, Matthew Guzdial
2021-07-28
Optimization and Control · Mathematics
A Bandit Learning Method for Continuous Games under Feedback Delays with Residual Pseudo-Gradient Estimate
Yuanhanqing Huang, Jianghai Hu
2023-09-08
Machine Learning · Computer Science
Sparse Reward Processes
Christos Dimitrakakis
2012-09-06
Computer Science and Game Theory · Computer Science
Multi-Principal Assistance Games: Definition and Collegial Mechanisms
Arnaud Fickinger, Simon Zhuang, Andrew Critch, Dylan Hadfield-Menell +1
2021-01-01
Computer Science and Game Theory · Computer Science
p-additive games: a class of totally balanced games arising from inventory situations with temporary discounts
Ana Meca, Luis A. Guardiola, Andrés Toledo
2024-02-08
Machine Learning · Computer Science
A Ranking Game for Imitation Learning
Harshit Sikchi, Akanksha Saran, Wonjoon Goo, Scott Niekum
2023-01-18
Computer Vision and Pattern Recognition · Computer Science
MEAL: Manifold Embedding-based Active Learning
Deepthi Sreenivasaiah, Johannes Otterbach, Thomas Wollmann
2022-03-09