Game Design
14 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Game Design
Most implemented papers
The N-Tuple Bandit Evolutionary Algorithm for Automatic Game Improvement
This paper describes a new evolutionary algorithm that is especially well suited to AI-Assisted Game Design.
Sampled Policy Gradient for Learning to Play the Game Agar.io
In this paper, a new offline actor-critic learning algorithm is introduced: Sampled Policy Gradient (SPG).
Beyond the Meta: Leveraging Game Design Parameters for Patch-Agnostic Esport Analytics
Therefore, the proposed methodology for representing characters can increase the life-spam of machine learning models as well as contribute to a higher performance when compared to traditional techniques typically employed within the literature.
PCG-Based Game Design Patterns
People enjoy encounters with generative software, but rarely are they encouraged to interact with, understand or engage with it.
Automated Game Design Learning
While general game playing is an active field of research, the learning of game design has tended to be either a secondary goal of such research or it has been solely the domain of humans.
A Continuous Information Gain Measure to Find the Most Discriminatory Problems for AI Benchmarking
This paper introduces an information-theoretic method for selecting a subset of problems which gives the most information about a group of problem-solving algorithms.
Metagame Autobalancing for Competitive Multiplayer Games
Automated game balancing has often focused on single-agent scenarios.
Online Game Level Generation from Music
Game consists of multiple types of content, while the harmony of different content types play an essential role in game design.
Learning Models of Adversarial Agent Behavior under Partial Observability
The need for opponent modeling and tracking arises in several real-world scenarios, such as professional sports, video game design, and drug-trafficking interdiction.
Word2World: Generating Stories and Worlds through Large Language Models
Word2World leverages the abilities of LLMs to create diverse content and extract information.