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In a mean-payoff parity game, one of the two players aims both to achieve a qualitative parity objective and to minimize a quantitative long-term average of payoffs (aka. mean payoff). The game is zero-sum and hence the aim of the other…

Computer Science and Game Theory · Computer Science 2020-01-15 Laure Daviaud , Marcin Jurdzinski , Ranko Lazic

Accurately estimating 3D hand pose is crucial for understanding how humans interact with the world. Despite remarkable progress, existing methods often struggle to generate plausible hand poses when the hand is heavily occluded or blurred.…

Computer Vision and Pattern Recognition · Computer Science 2023-08-21 Qichen Fu , Xingyu Liu , Ran Xu , Juan Carlos Niebles , Kris M. Kitani

This paper proposes an optimization algorithm based on how human fight and learn from each duelist. Since this algorithm is based on population, the proposed algorithm starts with an initial set of duelists. The duel is to determine the…

Neural and Evolutionary Computing · Computer Science 2015-12-03 Totok Ruki Biyanto , Henokh Yernias Fibrianto , Gunawan Nugroho , Erny Listijorini , Titik Budiati , Hairul Huda

Card game AI has always been a hot topic in the research of artificial intelligence. In recent years, complex card games such as Mahjong, DouDizhu and Texas Hold'em have been solved and the corresponding AI programs have reached the level…

Artificial Intelligence · Computer Science 2022-11-01 Yudong Lu , Jian Zhao , Youpeng Zhao , Wengang Zhou , Houqiang Li

We consider the adversarial multi-armed bandit problem under delayed feedback. We analyze variants of the Exp3 algorithm that tune their step-size using only information (about the losses and delays) available at the time of the decisions,…

Machine Learning · Computer Science 2020-10-14 András György , Pooria Joulani

Riichi Mahjong is a multi-player, imperfect-information game characterized by stochasticity and high-dimensional state spaces. These attributes present a unique combination of challenges that mirror complex real-world decision-making…

Artificial Intelligence · Computer Science 2026-05-21 Soichiro Nishimori , Shinri Okano , Keigo Habara , Sotetsu Koyamada , Eason Yu , Masashi Sugiyama

Conflict of interest is the permanent companion of any population of agents (computational or biological). For that reason, the ability to compromise is of paramount importance, making voting a key element of societal mechanisms. One of the…

Artificial Intelligence · Computer Science 2016-08-10 Arne Recknagel , Tarek R. Besold

Player selection is one the most important tasks for any sport and cricket is no exception. The performance of the players depends on various factors such as the opposition team, the venue, his current form etc. The team management, the…

Other Computer Science · Computer Science 2018-04-13 Kalpdrum Passi , Niravkumar Pandey

We consider the following one-player game called Dundee. We are given a deck consisting of s_i cards of Value i, where i=1,...,v, and an integer m\le s_1+...+s_v. There are m rounds. In each round, the player names a number between 1 and v…

Combinatorics · Mathematics 2008-12-06 Kevin Liwack , Oleg Pikhurko , Suporn Pongnumkul

Each of two players, by turns, rolls a dice several times accumulating the successive scores until he decides to stop, or he rolls an ace. When stopping, the accumulated turn score is added to the player account and the dice is given to his…

Probability · Mathematics 2009-12-31 Fabian Crocce , Ernesto Mordecki

Discrete Hahn polynomials (DHPs) and their moments are considered to be one of the efficient orthogonal moments and they are applied in various scientific areas such as image processing and feature extraction. Commonly, DHPs are used as…

Computer Vision and Pattern Recognition · Computer Science 2023-01-11 Basheera M. Mahmmod , Sadiq H. Abdulhussain , Tomáš Suk , Abir Hussain

The metric MinDist, introduced recently to quantify the distance of an arbitrary Rummy hand from a valid declaration, plays a central role in algorithmic hand evaluation and optimal play. Existing results show that the MinDist of any…

Combinatorics · Mathematics 2026-01-13 Purushottam Saha , Diganta Mukherjee

We study the problem of identifying the top $m$ arms in a multi-armed bandit game. Our proposed solution relies on a new algorithm based on successive rejects of the seemingly bad arms, and successive accepts of the good ones. This…

Machine Learning · Computer Science 2012-05-16 Sébastien Bubeck , Tengyao Wang , Nitin Viswanathan

The dependency graph is a data architecture that models all the dependencies between the different types of assets in the game. It depicts the dependency-based relationships between the assets of a game. For example, a player must construct…

Artificial Intelligence · Computer Science 2013-01-29 Sim-Hui Tee

This paper considers a multi-armed bandit game where the number of arms is much larger than the maximum budget and is effectively infinite. We characterize necessary and sufficient conditions on the total budget for an algorithm to return…

Machine Learning · Statistics 2019-01-15 Maryam Aziz , Kevin Jamieson , Javed Aslam

Sequential allocation is a simple and widely studied mechanism to allocate indivisible items in turns to agents according to a pre-specified picking sequence of agents. At each turn, the current agent in the picking sequence picks its most…

Data Structures and Algorithms · Computer Science 2019-09-17 Mingyu Xiao , Jiaxing Ling

The solution set of a system of polynomial equations typically contains ill-behaved, singular points. Resolution is a fundamental process in geometry in which we replace singular points with smooth points, while keeping the rest of the…

Machine Learning · Computer Science 2023-08-24 Gergely Bérczi , Honglu Fan , Mingcong Zeng

In this article, we study the decision-making process of chess players by using a chess engine to evaluate the moves across different pools of games. We quantified the decisiveness of each move during the games using a metric derived from…

Physics and Society · Physics 2025-06-13 A. Chacoma , O. V. Billoni

$\textit{Magic: The Gathering}$ is a popular and famously complicated trading card game about magical combat. In this paper we show that optimal play in real-world $\textit{Magic}$ is at least as hard as the Halting Problem, solving a…

Artificial Intelligence · Computer Science 2019-04-24 Alex Churchill , Stella Biderman , Austin Herrick

What is the number of rolls of fair 6-sided dice until the first time the total sum of all rolls is a prime? We compute the expectation and the variance of this random variable up to an additive error of less than 10^{-4}. This is a…

Probability · Mathematics 2023-01-25 Noga Alon , Yaakov Malinovsky