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 …

Games have been the perfect test-beds for artificial intelligence research for the
characteristics that widely exist in real-world scenarios. Learning and optimisation, decision …

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 …

Games have been the perfect test-beds for artificial intelligence research for the
characteristics that widely exist in real-world scenarios. Learning and optimisation, decision …

Collectible card games have been among the most popular and profitable products of the
entertainment industry since the early days of Magic: The Gathering TM in the nineties …

In this paper, we introduce a Monte-Carlo tree search (MCTS) approach for the game"
Hearthstone: Heroes of Warcraft". We argue that, in light of the challenges posed by the …

Deck building is a crucial component in playing Collectible Card Games (CCGs). The goal of
deck building is to choose a fixed-sized subset of cards from a large card pool, so that they …

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 …