Georgios N. Yannakakis Julian Togelius Page 1 Artificial Intelligence and Games Georgios N.
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …

Quality diversity (QD) algorithms such as MAP-Elites have emerged as a powerful
alternative to traditional single-objective optimization methods. They were initially applied to …

We study the problem of efficiently generating high-quality and diverse content in games.
Previous work on automated deckbuilding in Hearthstone shows that the quality diversity …

Intelligent game agents are crafted using AI technologies to mimic player behavior and
make decisions autonomously. Over the past decades, the scope of intelligent agents has …

This article examines a terrain in which gender inclusion remains a challenge: competitive
esports. In the male-dominated sphere of esports, the underrepresentation of women and …

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 …

A significant issue in game balancing is understanding the game itself. For simple games
end-to-end optimization approaches can help explore the game's design space, but for more …

Since the inception of artificial intelligence, games have benchmarked algorithmic
advances. Recent success in classic board games such as Chess and Go have left space …

Ludii is a general game system being developed as part of the ERC-funded Digital Ludeme
Project (DLP). While its primary aim is to model, play, and analyse the full range of traditional …

Hearthstone is a competitive, online Collectible Card Game, in which players construct their
own 30-card decks from hundreds of available cards. Different decks differ wildly in terms of …