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Related papers: AI solutions for drafting in Magic: the Gathering

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Drafting, i.e., the selection of a subset of items from a larger candidate set, is a key element of many games and related problems. It encompasses team formation in sports or e-sports, as well as deck selection in many modern card games.…

Artificial Intelligence · Computer Science 2021-08-20 Timo Bertram , Johannes Fürnkranz , Martin Müller

A defining feature of collectable card games is the deck building process prior to actual gameplay, in which players form their decks according to some restrictions. Learning to build decks is difficult for players and models alike due to…

Artificial Intelligence · Computer Science 2024-07-15 Timo Bertram , Johannes Fürnkranz , Martin Müller

Historically, games of all kinds have often been the subject of study in scientific works of Computer Science, including the field of machine learning. By using machine learning techniques and applying them to a game with defined rules or a…

Machine Learning · Computer Science 2018-10-10 Felipe Zilio , Marcelo Prates , Luis Lamb

Magic: the Gathering is a popular and famously complicated card game about magical combat. Recently, several authors including Chatterjee and Ibsen-Jensen (2016) and Churchill, Biderman, and Herrick (2019) have investigated the…

Artificial Intelligence · Computer Science 2020-03-12 Stella Biderman

Digital collectible card games are not only a growing part of the video game industry, but also an interesting research area for the field of computational intelligence. This game genre allows researchers to deal with hidden information,…

Neural and Evolutionary Computing · Computer Science 2024-10-28 Pablo García-Sánchez , Alberto Tonda , Antonio J. Fernández-Leiva , Carlos Cotta

$\textit{Magic: The Gathering}$ 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

This paper presents a personalized character recommendation system for Multiplayer Online Battle Arena (MOBA) games which are considered as one of the most popular online video game genres around the world. When playing MOBA games, players…

Artificial Intelligence · Computer Science 2022-04-28 Hojoon Lee , Dongyoon Hwang , Hyunseung Kim , Byungkun Lee , Jaegul Choo

The Hearthstone AI framework and competition motivates the development of artificial intelligence agents that can play collectible card games. A special feature of those games is the high variety of cards, which can be chosen by the players…

Artificial Intelligence · Computer Science 2019-06-12 Alexander Dockhorn , Sanaz Mostaghim

Hero drafting for multiplayer online arena (MOBA) games is crucial because drafting directly affects the outcome of a match. Both sides take turns to "ban"/"pick" a hero from a roster of approximately 100 heroes to assemble their drafting.…

Human-Computer Interaction · Computer Science 2023-11-13 Shiyi Liu , Ruofei Ma , Chuyi Zhao , Zhenbang Li , Jianpeng Xiao , Quan Li

In this unprecedented era of technology-driven transformation, it becomes more critical than ever that we aggressively invest in developing robust artificial intelligence (AI) for wargaming in support of decision-making. By advancing…

Machine Learning · Computer Science 2024-02-12 Scotty Black , Christian Darken

Strategy card game is a well-known genre that is demanding on the intelligent game-play and can be an ideal test-bench for AI. Previous work combines an end-to-end policy function and an optimistic smooth fictitious play, which shows…

Machine Learning · Computer Science 2023-05-30 Changnan Xiao , Yongxin Zhang , Xuefeng Huang , Qinhan Huang , Jie Chen , Peng Sun

Multiplayer Online Battle Arena (MOBA) games have received increasing popularity recently. In a match of such games, players compete in two teams of five, each controlling an in-game avatars, known as heroes, selected from a roster of more…

Artificial Intelligence · Computer Science 2018-06-27 Zhengxing Chen , Truong-Huy D Nguyen , Yuyu Xu , Chris Amato , Seth Cooper , Yizhou Sun , Magy Seif El-Nasr

Hero drafting is essential in MOBA game playing as it builds the team of each side and directly affects the match outcome. State-of-the-art drafting methods fail to consider: 1) drafting efficiency when the hero pool is expanded; 2) the…

Artificial Intelligence · Computer Science 2021-08-06 Sheng Chen , Menghui Zhu , Deheng Ye , Weinan Zhang , Qiang Fu , Wei Yang

We present an algorithm that identifies the reasoning patterns of agents in a game, by iteratively examining the graph structure of its Multi-Agent Influence Diagram (MAID) representation. If the decision of an agent participates in no…

Computer Science and Game Theory · Computer Science 2012-06-18 Dimitrios Antos , Avi Pfeffer

Bridge is among the zero-sum games for which artificial intelligence has not yet outperformed expert human players. The main difficulty lies in the bidding phase of bridge, which requires cooperative decision making under partial…

Artificial Intelligence · Computer Science 2016-07-13 Chih-Kuan Yeh , Hsuan-Tien Lin

Understanding how people behave in strategic settings--where they make decisions based on their expectations about the behavior of others--is a long-standing problem in the behavioral sciences. We conduct the largest study to date of…

General Economics · Economics 2024-08-16 Jian-Qiao Zhu , Joshua C. Peterson , Benjamin Enke , Thomas L. Griffiths

Prior AI breakthroughs in complex games have focused on either the purely adversarial or purely cooperative settings. In contrast, Diplomacy is a game of shifting alliances that involves both cooperation and competition. For this reason,…

Artificial Intelligence · Computer Science 2021-05-04 Jonathan Gray , Adam Lerer , Anton Bakhtin , Noam Brown

Game development is a complex task involving multiple disciplines and technologies. Developers and researchers alike have suggested that AI-driven game design assistants may improve developer workflow. We present a recommender system for…

Artificial Intelligence · Computer Science 2019-08-14 Tiago Machado , Daniel Gopstein , Oded Nov , Angela Wang , Andy Nealen , Julian Togelius

The game of bridge consists of two stages: bidding and playing. While playing is proved to be relatively easy for computer programs, bidding is very challenging. During the bidding stage, each player knowing only his/her own cards needs to…

Artificial Intelligence · Computer Science 2019-03-06 Jiang Rong , Tao Qin , Bo An

In multi-player card games such as Skat or Bridge, the early stages of the game, such as bidding, game selection, and initial card selection, are often more critical to the success of the play than refined middle- and end-game play. At the…

Artificial Intelligence · Computer Science 2025-12-18 Stefan Edelkamp
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