16 citations · 16 across the 3 of their papers we have counts for
6 papers
Automated Playtesting of Matching Tile Games
Luvneesh Mugrai, Fernando de Mesentier Silva, Christoffer Holmgård +1
Matching tile games are an extremely popular game genre. Arguably the most popular iteration, Match-3 games, are simple to understand puzzle games, making them great benchmarks for…
The Many AI Challenges of Hearthstone
Amy K. Hoover, Julian Togelius, Scott Lee +1
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 s…
Evolving the Hearthstone Meta
Fernando de Mesentier Silva, Rodrigo Canaan, Scott Lee +3
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 i…
Mapping Hearthstone Deck Spaces through MAP-Elites with Sliding Boundaries
Matthew C. Fontaine, Scott Lee, L. B. Soros +3
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 evo…
Exploring Gameplay With AI Agents
Fernando de Mesentier Silva, Igor Borovikov, John Kolen +2
The process of playtesting a game is subjective, expensive and incomplete. In this paper, we present a playtesting approach that explores the game space with automated agents and c…
RioBusData: Outlier Detection in Bus Routes of Rio de Janeiro
Aline Bessa, Fernando de Mesentier Silva, Rodrigo Frassetto Nogueira +2
Buses are the primary means of public transportation in the city of Rio de Janeiro, carrying around 100 million passengers every month. Recently, real-time GPS coordinates of all o…