1 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
Strategy Game-Playing with Size-Constrained State Abstraction
Linjie Xu, Diego Perez-Liebana, Alexander Dockhorn
Playing strategy games is a challenging problem for artificial intelligence (AI). One of the major challenges is the large search space due to a diverse set of game components. In…
Elastic Monte Carlo Tree Search with State Abstraction for Strategy Game Playing
Linjie Xu, Jorge Hurtado-Grueso, Dominic Jeurissen +2
Strategy video games challenge AI agents with their combinatorial search space caused by complex game elements. State abstraction is a popular technique that reduces the state spac…
Portfolio Search and Optimization for General Strategy Game-Playing
Alexander Dockhorn, Jorge Hurtado-Grueso, Dominik Jeurissen +2
Portfolio methods represent a simple but efficient type of action abstraction which has shown to improve the performance of search-based agents in a range of strategy games. We fir…
Generating Diverse and Competitive Play-Styles for Strategy Games
Diego Perez-Liebana, Cristina Guerrero-Romero, Alexander Dockhorn +3
Designing agents that are able to achieve different play-styles while maintaining a competitive level of play is a difficult task, especially for games for which the research commu…