A review of real-time strategy game AI
G Robertson, I Watson - Ai Magazine, 2014 - ojs.aaai.org
This literature review covers AI techniques used for real-time strategy video games, focusing
specifically on StarCraft. It finds that the main areas of current academic research are in …
specifically on StarCraft. It finds that the main areas of current academic research are in …
A survey of real-time strategy game AI research and competition in StarCraft
This paper presents an overview of the existing work on AI for real-time strategy (RTS)
games. Specifically, we focus on the work around the game StarCraft, which has emerged in …
games. Specifically, we focus on the work around the game StarCraft, which has emerged in …
In the blink of an eye: leveraging blink-induced suppression for imperceptible position and orientation redirection in virtual reality
Immersive computer-generated environments (aka virtual reality, VR) are limited by the
physical space around them, eg, enabling natural walking in VR is only possible by …
physical space around them, eg, enabling natural walking in VR is only possible by …
A review of computational intelligence in RTS games
R Lara-Cabrera, C Cotta… - 2013 IEEE Symposium …, 2013 - ieeexplore.ieee.org
Real-time strategy games offer a wide variety of fundamental AI research challenges. Most
of these challenges have applications outside the game domain. This paper provides a …
of these challenges have applications outside the game domain. This paper provides a …
A data mining approach to strategy prediction
BG Weber, M Mateas - 2009 IEEE Symposium on …, 2009 - ieeexplore.ieee.org
We present a data mining approach to opponent modeling in strategy games. Expert
gameplay is learned by applying machine learning techniques to large collections of game …
gameplay is learned by applying machine learning techniques to large collections of game …
Applying reinforcement learning to small scale combat in the real-time strategy game StarCraft: Broodwar
This paper presents an evaluation of the suitability of reinforcement learning (RL) algorithms
to perform the task of micro-managing combat units in the commercial real-time strategy …
to perform the task of micro-managing combat units in the commercial real-time strategy …
Raycasting in virtual reality
K Pietroszek - Encyclopedia of computer graphics and games, 2024 - Springer
While ray tracing has been around for quite a while, it has only recently become a popular
topic in the gaming community. With the recent introduction of process-effective algorithms …
topic in the gaming community. With the recent introduction of process-effective algorithms …
A Bayesian model for RTS units control applied to StarCraft
G Synnaeve, P Bessiere - 2011 IEEE Conference on …, 2011 - ieeexplore.ieee.org
In real-time strategy games (RTS), the player must reason about high-level strategy and
planning while having effective tactics and even individual units micro-management …
planning while having effective tactics and even individual units micro-management …
RTS AI problems and techniques
While ray tracing has been around for quite a while, it has only recently become a popular
topic in the gaming community. With the recent introduction of process-effective algorithms …
topic in the gaming community. With the recent introduction of process-effective algorithms …
Combining case-based reasoning and reinforcement learning for unit navigation in real-time strategy game AI
This paper presents a navigation component based on a hybrid case-based reasoning
(CBR) and reinforcement learning (RL) approach for an AI agent in a real-time strategy …
(CBR) and reinforcement learning (RL) approach for an AI agent in a real-time strategy …