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Deep learning for procedural content generation
Procedural content generation in video games has a long history. Existing procedural
content generation methods, such as search-based, solver-based, rule-based and grammar …
content generation methods, such as search-based, solver-based, rule-based and grammar …
Dynamic difficulty adjustment approaches in video games: a systematic literature review
Providing an appropriate difficulty level in a game is critical for kee** players engaged.
Dynamic Difficulty Adjustment (DDA) is a common approach for optimizing player …
Dynamic Difficulty Adjustment (DDA) is a common approach for optimizing player …
Player-driven game analytics: The case of guild wars 2
Video game analytics are widely adopted within academia and industrial development–yet,
the player's perspective is rarely considered as a driving factor, even though vast …
the player's perspective is rarely considered as a driving factor, even though vast …
Damage optimization in video games: A player-driven co-creative approach
J Pfau, M Charan, E Kleinman… - Proceedings of the 2024 …, 2024 - dl.acm.org
The concept of dealing damage is established and widespread in video games. With
growing complexity and countless interactions in modern games, capturing how damage …
growing complexity and countless interactions in modern games, capturing how damage …
Video game automated testing approaches: An assessment framework
A Albaghajati, M Ahmed - IEEE transactions on games, 2020 - ieeexplore.ieee.org
The video-game industry has recently grown from focused markets to mainstream. The
advancements the industry has been enjoying motivated researchers to propose techniques …
advancements the industry has been enjoying motivated researchers to propose techniques …
[HTML][HTML] Adaptive virtual reality horror games based on machine learning and player modeling
Fear is a basic human emotion that can be triggered by different situations, which vary from
person to person. However, game developers usually design horror games based on a …
person to person. However, game developers usually design horror games based on a …
Using reinforcement learning for load testing of video games
Different from what happens for most types of software systems, testing video games has
largely remained a manual activity performed by human testers. This is mostly due to the …
largely remained a manual activity performed by human testers. This is mostly due to the …
Dungeons & replicants II: automated game balancing across multiple difficulty dimensions via deep player behavior modeling
Video game testing has become a major investment of time, labor, and expense in the game
industry. Particularly the balancing of in-game units, characters, and classes can cause long …
industry. Particularly the balancing of in-game units, characters, and classes can cause long …
Mining player behavior patterns from domain-based spatial abstraction in games
Identifying explainable player strategies and decision patterns that give insights into player
behavior is one of the most difficult tasks for game analytics, yet yields great informative …
behavior is one of the most difficult tasks for game analytics, yet yields great informative …
Player segmentation with inspect: Revealing systematic behavior differences within mmorpg and educational game case studies
Visualization tools have aided game analytics in a multitude of ways. Yet, producing
customized representations that focus on specific research questions remains an open …
customized representations that focus on specific research questions remains an open …