Deep learning applications in games: a survey from a data perspective
This paper presents a comprehensive review of deep learning applications in the video
game industry, focusing on how these techniques can be utilized in game development …
game industry, focusing on how these techniques can be utilized in game development …
PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG
Massive multiplayer online role-playing games (MMORPG) have been becoming one of the
most popular and exciting online games. In recent years, a cheating phenomenon called …
most popular and exciting online games. In recent years, a cheating phenomenon called …
VESPA: A General System for Vision-Based Extrasensory Perception Anti-Cheating in Online FPS Games
Cheating is widespread in online games, particularly in competitive games like First-Person
Shooter (FPS) games. One of the most common types of cheating is Extrasensory …
Shooter (FPS) games. One of the most common types of cheating is Extrasensory …
BEAT: Behavior Evaluation and Anomaly Tracking, Game Bot Detection Framework in RPG Games
H Cao, Y Li, Z Liang - Proceedings of the 2023 6th International …, 2023 - dl.acm.org
In the realm of gaming, game bots represent a serious threat to the game balance, resulting
in decreased enjoyment for legitimate players. For developers, the infiltration of bot players …
in decreased enjoyment for legitimate players. For developers, the infiltration of bot players …
Exploring the Trajectory Space of Professional Cs: Go Data/Author Alexander Huber Bsc
A Huber - 2024 - epub.jku.at
This master thesis investigates the trajectory space of Counter-Strike: Global Offensive (Cs:
Go) data derived from professional players participating in both offline and online …
Go) data derived from professional players participating in both offline and online …