Imitation learning: A survey of learning methods
Imitation learning techniques aim to mimic human behavior in a given task. An agent (a
learning machine) is trained to perform a task from demonstrations by learning a mapping …
learning machine) is trained to perform a task from demonstrations by learning a mapping …
[图书][B] Artificial intelligence and games
GN Yannakakis, J Togelius - 2018 - Springer
Georgios N. Yannakakis Julian Togelius Page 1 Artificial Intelligence and Games Georgios N.
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …
Visualization-based analysis of gameplay data–a review of literature
G Wallner, S Kriglstein - Entertainment Computing, 2013 - Elsevier
As video games are becoming more and more complex and are reaching a broader
audience, there is an increasing interest in procedures to analyze player behavior and the …
audience, there is an increasing interest in procedures to analyze player behavior and the …
Experience-driven procedural content generation
GN Yannakakis, J Togelius - IEEE Transactions on Affective …, 2011 - ieeexplore.ieee.org
Procedural content generation (PCG) is an increasingly important area of technology within
modern human-computer interaction (HCI) design. Personalization of user experience via …
modern human-computer interaction (HCI) design. Personalization of user experience via …
A panorama of artificial and computational intelligence in games
GN Yannakakis, J Togelius - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
This paper attempts to give a high-level overview of the field of artificial and computational
intelligence (AI/CI) in games, with particular reference to how the different core research …
intelligence (AI/CI) in games, with particular reference to how the different core research …
Player modeling
Player modeling is the study of computational models of players in games. This includes the
detection, modeling, prediction and expression of human player characteristics which are …
detection, modeling, prediction and expression of human player characteristics which are …
Player modeling using self-organization in Tomb Raider: Underworld
We present a study focused on constructing models of players for the major commercial title
Tomb Raider: Underworld (TRU). Emergent self-organizing maps are trained on high-level …
Tomb Raider: Underworld (TRU). Emergent self-organizing maps are trained on high-level …
Imitating human playing styles in super mario bros
We describe and compare several methods for generating game character controllers that
mimic the playing style of a particular human player, or of a population of human players …
mimic the playing style of a particular human player, or of a population of human players …
Predicting player behavior in tomb raider: Underworld
This paper presents the results of an explorative study on predicting aspects of playing
behavior for the major commercial title Tomb Raider: Underworld (TRU). Various supervised …
behavior for the major commercial title Tomb Raider: Underworld (TRU). Various supervised …
Detection of MMORPG bots based on behavior analysis
R Thawonmas, Y Kashifuji, KT Chen - Proceedings of the 2008 …, 2008 - dl.acm.org
Game bots, ie, autoplaying game clients, are currently causing troubles to both game
publishers and bona fide players of Massively Multiplayer Online Role-Playing Games …
publishers and bona fide players of Massively Multiplayer Online Role-Playing Games …