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相关论文: Introducing the Hearthstone-AI Competition

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Games have benchmarked AI methods since the inception of the field, with classic board games such as Chess and Go recently leaving room for video games with related yet different sets of challenges. The set of AI problems associated with…

人工智能 · 计算机科学 2019-07-16 Amy K. Hoover , Julian Togelius , Scott Lee , Fernando de Mesentier Silva

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,…

神经与进化计算 · 计算机科学 2024-10-28 Pablo García-Sánchez , Alberto Tonda , Antonio J. Fernández-Leiva , Carlos Cotta

Balancing an ever growing strategic game of high complexity, such as Hearthstone is a complex task. The target of making strategies diverse and customizable results in a delicate intricate system. Tuning over 2000 cards to generate the…

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…

机器学习 · 计算机科学 2023-05-30 Changnan Xiao , Yongxin Zhang , Xuefeng Huang , Qinhan Huang , Jie Chen , Peng Sun

This paper summarizes the AAIA'17 Data Mining Challenge: Helping AI to Play Hearthstone which was held between March 23, and May 15, 2017 at the Knowledge Pit platform. We briefly describe the scope and background of this competition in the…

人工智能 · 计算机科学 2017-08-03 Andrzej Janusz , Maciej Świechowski , Tomasz Tajmajer

The ecosystem of artificial intelligence competitions is a diverse and multifaceted landscape, encompassing a variety of platforms that each host numerous competitions annually, alongside a plethora of specialized websites dedicated to…

机器学习 · 计算机科学 2023-12-11 Andrey Ustyuzhanin , Harald Carlens

As the use of artificial intelligence (AI) in high-stakes decision-making increases, the ability to contest such decisions is being recognised in AI ethics guidelines as an important safeguard for individuals. Yet, there is little guidance…

人机交互 · 计算机科学 2021-02-23 Henrietta Lyons , Eduardo Velloso , Tim Miller

While Poker, as a family of games, has been studied extensively in the last decades, collectible card games have seen relatively little attention. Only recently have we seen an agent that can compete with professional human players in…

人工智能 · 计算机科学 2024-04-26 Radovan Haluska , Martin Schmid

Multi agent strategies in mixed cooperative-competitive environments can be hard to craft by hand because each agent needs to coordinate with its teammates while competing with its opponents. Learning based algorithms are appealing but many…

人工智能 · 计算机科学 2020-07-08 Ankur Deka , Katia Sycara

Randomness is an important factor in games, so much so that some games rely almost purely on it for its outcomes and increase players' engagement with them. However, randomness can affect the game experience depending on when it occurs in a…

人机交互 · 计算机科学 2021-07-20 Yiwen Zhang , Diego Monteiro , Hai-Ning Liang , Jieming Ma , Nilufar Baghaei

Regulation of advanced technologies such as Artificial Intelligence (AI) has become increasingly important, given the associated risks and apparent ethical issues. With the great benefits promised from being able to first supply such…

人工智能 · 计算机科学 2022-01-05 Theodor Cimpeanu , Francisco C. Santos , Luis Moniz Pereira , Tom Lenaerts , The Anh Han

Game AI competitions are important to foster research and development on Game AI and AI in general. These competitions supply different challenging problems that can be translated into other contexts, virtual or real. They provide…

人工智能 · 计算机科学 2020-10-20 Ana Salta , Rui Prada , Francisco S. Melo

In 2016, 2017, and 2018 at the IEEE Conference on Computational Intelligence in Games, the authors of this paper ran a competition for agents that can play classic text-based adventure games. This competition fills a gap in existing game AI…

人工智能 · 计算机科学 2019-01-25 Timothy Atkinson , Hendrik Baier , Tara Copplestone , Sam Devlin , Jerry Swan

In this paper, we evolve a card-choice strategy for the arena mode of Legends of Code and Magic, a programming game inspired by popular collectible card games like Hearthstone or TES: Legends. In the arena game mode, before each match, a…

人工智能 · 计算机科学 2020-05-14 Jakub Kowalski , Radosław Miernik

Strategic decision-making requires balancing immediate opportunities against long-term objectives: a tension fundamental to competitive environments. We investigate this trade-off in chess by analyzing the dynamics of human and AI gameplay…

人工智能 · 计算机科学 2026-02-17 Adamo Cerioli , Edward D. Lee , Vito D. P. Servedio

Collectible card games are challenging, widely played games that have received increasing attention from the AI research community in recent years. Despite important breakthroughs, the field still poses many unresolved challenges. This work…

人工智能 · 计算机科学 2024-12-11 Ronaldo e Silva Vieira , Anderson Rocha Tavares , Luiz Chaimowicz

We investigate the impact of supervised prediction models on the strength and efficiency of artificial agents that use the Monte-Carlo Tree Search (MCTS) algorithm to play a popular video game Hearthstone: Heroes of Warcraft. We overview…

人工智能 · 计算机科学 2018-08-15 Maciej Świechowski , Tomasz Tajmajer , Andrzej Janusz

Strong foundations in basic AI techniques are key to understanding more advanced concepts. We believe that introducing AI techniques, such as search methods, early in higher education helps create a deeper understanding of the concepts seen…

人工智能 · 计算机科学 2024-04-26 Ken Hasselmann , Quentin Lurkin

This paper presents a new AI challenge, the Tales of Tribute AI Competition (TOTAIC), based on a two-player deck-building card game released with the High Isle chapter of The Elder Scrolls Online. Currently, there is no other AI competition…

人工智能 · 计算机科学 2024-05-21 Jakub Kowalski , Radosław Miernik , Katarzyna Polak , Dominik Budzki , Damian Kowalik

Learning how to adapt to complex and dynamic environments is one of the most important factors that contribute to our intelligence. Endowing artificial agents with this ability is not a simple task, particularly in competitive scenarios. In…

人工智能 · 计算机科学 2020-04-09 Pablo Barros , Ana Tanevska , Alessandra Sciutti
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