Arena Shooter reports and market data
1 document·1 writer
1 game industry report, presentation or talk about arena shooter from writers such as University of Malta, newest from 2018. Every document has a summary and key insights with the page they come from.
Documents
Whitepaper10 pages
Pairing Character Classes in a Deathmatch Shooter Game via a Deep-Learning Surrogate Model
Deep-learning surrogate models provide a robust framework for balancing character classes in deathmatch shooter games by predicting match outcomes without the need for exhaustive, computationally expensive simulations.
- Deep-learning surrogate models can replace computationally expensive simulations to predict deathmatch shooter outcomes, significantly accelerating the design iteration process.
- Convolutional neural network (CNN) architectures outperform multi-layer perceptron models in predicting player scores and identifying design trends like the relationship between hit points and match duration.
- Surrogate models function as automated design assistants that optimize character class parameters for both human-authored and procedurally generated map environments.
University of MaltaAug 2018