This article presents the results of the first edition of the microRTS (μRTS) AI competition, which was hosted by the IEEE Computational Intelligence in Games (CIG) 2017 conference. The goal of the competition is to spur research on AI techniques for real-time strategy (RTS) games. In this first edition, the competition received three submissions, focusing on address- ing problems such as balancing long-term and short-term search, the use of machine learning to learn how to play against certain opponents, and finally, dealing with partial observability in RTS games
The performance of Artificial Intelligence (AI) in imperfect information games is not at its peak. I...
As virtual environments are becoming graphically nearly realistic, the need for a satisfying Artific...
In the present work I devote to simple turn-based strategic game design and implementation of a plat...
In recent years, real-time strategy (RTS) games have gained attention in the AI research community f...
This article reviews the last two IEEE Conference on Computational Intelligence and Games (CIG) Star...
International audienceDefinition Real-Time Strategy (RTS) games is a sub-genre of strategy games whe...
Abstract—This paper presents the framework, rules, games, controllers and results of the first Gener...
The general purpose of this research is to investigate the possibilities offered for the use of Arti...
Multiplayer online battle arena (MOBA) games are a recent huge success both in the video game indust...
International audienceThis paper presents an overview of the existing work on AI for real-time strat...
Title: Artificial intelligence for real-time strategic games Author: Ondřej Sýkora Department: Depar...
Real-time strategy (RTS) games are known to be one of the most complex gamegenres for humans to play...
Games have long been seen as the perfect test-bed for artificial intelligence (AI) methods and are a...
Real-Time Strategy games (RTS) are representatives of the highest class of computational complexity ...
The Google Artificial Intelligence (AI) Challenge is an international contest the objective of whic...
The performance of Artificial Intelligence (AI) in imperfect information games is not at its peak. I...
As virtual environments are becoming graphically nearly realistic, the need for a satisfying Artific...
In the present work I devote to simple turn-based strategic game design and implementation of a plat...
In recent years, real-time strategy (RTS) games have gained attention in the AI research community f...
This article reviews the last two IEEE Conference on Computational Intelligence and Games (CIG) Star...
International audienceDefinition Real-Time Strategy (RTS) games is a sub-genre of strategy games whe...
Abstract—This paper presents the framework, rules, games, controllers and results of the first Gener...
The general purpose of this research is to investigate the possibilities offered for the use of Arti...
Multiplayer online battle arena (MOBA) games are a recent huge success both in the video game indust...
International audienceThis paper presents an overview of the existing work on AI for real-time strat...
Title: Artificial intelligence for real-time strategic games Author: Ondřej Sýkora Department: Depar...
Real-time strategy (RTS) games are known to be one of the most complex gamegenres for humans to play...
Games have long been seen as the perfect test-bed for artificial intelligence (AI) methods and are a...
Real-Time Strategy games (RTS) are representatives of the highest class of computational complexity ...
The Google Artificial Intelligence (AI) Challenge is an international contest the objective of whic...
The performance of Artificial Intelligence (AI) in imperfect information games is not at its peak. I...
As virtual environments are becoming graphically nearly realistic, the need for a satisfying Artific...
In the present work I devote to simple turn-based strategic game design and implementation of a plat...