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Improving playtesting coverage via curiosity driven reinforcement learning agents
As modern games continue growing both in size and complexity, it has become more
challenging to ensure that all the relevant content is tested and that any potential issues are …
challenging to ensure that all the relevant content is tested and that any potential issues are …
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 …
Automated gameplay testing and validation with curiosity-conditioned proximal trajectories
This article proposes a novel deep reinforcement learning algorithm to perform automated
analysis and detection of gameplay issues in complex 3-D navigation environments. The …
analysis and detection of gameplay issues in complex 3-D navigation environments. The …
Diversifying dynamic difficulty adjustment agent by integrating player state models into Monte-Carlo tree search
Game developers have employed dynamic difficulty adjustment (DDA) in designing game
artificial intelligence (AI) to improve players' game experience by adjusting the skill of game …
artificial intelligence (AI) to improve players' game experience by adjusting the skill of game …
Predicting game difficulty and engagement using AI players
This paper presents a novel approach to automated playtesting for the prediction of human
player behavior and experience. We have previously demonstrated that Deep …
player behavior and experience. We have previously demonstrated that Deep …
Towards informed design and validation assistance in computer games using imitation learning
In games, as in many other domains, design validation and testing is a significant challenge
as systems are growing in size and manual testing is becoming infeasible. In this position …
as systems are growing in size and manual testing is becoming infeasible. In this position …
Technical challenges of deploying reinforcement learning agents for game testing in aaa games
Going from research to production, especially for large and complex software systems, is
fundamentally a hard problem. In large-scale game production, one of the main reasons is …
fundamentally a hard problem. In large-scale game production, one of the main reasons is …
How to measure game testing: a survey of coverage metrics
As the complexity of video games continues to evolve, so does the importance of effective
game testing methodologies. To this end, automated game testing has emerged as a pivotal …
game testing methodologies. To this end, automated game testing has emerged as a pivotal …
A Literature Review of Software Testing Practices and Frameworks in the Video Gaming Industry
The video gaming industry has evolved into an industry that drives high revenue and
tangentially faces some of the toughest problems in the software engineering domain. With …
tangentially faces some of the toughest problems in the software engineering domain. With …
Difficulty modelling in mobile puzzle games: An empirical study on different methods to combine player analytics and simulated data
JT Kristensen, P Burelli - International Journal of Computer …, 2024 - Wiley Online Library
Difficulty is one of the key drivers of player engagement, and it is often one of the aspects
that designers tweak most to optimise the player experience; operationalising it is, therefore …
that designers tweak most to optimise the player experience; operationalising it is, therefore …