Game-playing evolutionary algorithms, specifically rolling horizon evolutionary algorithms (RHEA), have recently managed to beat the state of the art in win rate across many video games. However, t…
The notion of self-play, albeit often cited in multiagent reinforcement learning as a process by which to train agent policies from scratch, has received little efforts to be taxonomized within a f…
Esports are competitive videogames watched by audiences. Most esports generate detailed data for each match that are publicly available. Esports analytics research is focused on predicting match ou…
In this paper, we analyze the gameplay data of three popular customizable card games where players build decks prior to gameplay. We analyze the data from a player engagement perspective, how the b…
Monte Carlo tree search (MCTS) has become a popular solution for game artificial intelligence (AI), capable of creating strong game playing opponents. However, the emergent playstyle of agents usin…