research
∙
06/29/2023
Game Level Blending using a Learned Level Representation
Game level blending via machine learning, the process of combining featu...
share
research
∙
06/29/2023
Joint Level Generation and Translation Using Gameplay Videos
Procedural Content Generation via Machine Learning (PCGML) faces a signi...
research
∙
06/01/2023
Transfer Learning for Underrepresented Music Generation
This paper investigates a combinational creativity approach to transfer ...
research
∙
05/01/2023
Procedural Content Generation via Knowledge Transformation (PCG-KT)
We introduce the concept of Procedural Content Generation via Knowledge ...
research
∙
12/07/2022
Generating Real-Time Strategy Game Units Using Search-Based Procedural Content Generation and Monte Carlo Tree Search
Real-Time Strategy (RTS) game unit generation is an unexplored area of P...
research
∙
12/07/2022
Improving Deep Localized Level Analysis: How Game Logs Can Help
Player modelling is the field of study associated with understanding pla...
research
∙
11/04/2022
Diversity-based Deep Reinforcement Learning Towards Multidimensional Difficulty for Fighting Game AI
In fighting games, individual players of the same skill level often exhi...
research
∙
10/23/2022
Clustering-based Tile Embedding (CTE): A General Representation for Level Design with Skewed Tile Distributions
There has been significant research interest in Procedural Level Generat...
research
∙
09/07/2022
Responsibility: An Example-based Explainable AI approach via Training Process Inspection
Explainable Artificial Intelligence (XAI) methods are intended to help h...
research
∙
09/01/2022
SketchBetween: Video-to-Video Synthesis for Sprite Animation via Sketches
2D animation is a common factor in game development, used for characters...
research
∙
05/19/2022
Threshold Designer Adaptation: Improved Adaptation for Designers in Co-creative Systems
To best assist human designers with different styles, Machine Learning (...
research
∙
03/23/2022
Pixel VQ-VAEs for Improved Pixel Art Representation
Machine learning has had a great deal of success in image processing. Ho...
research
∙
10/07/2021
Arachnophobia Exposure Therapy using Experience-driven Procedural Content Generation via Reinforcement Learning (EDPCGRL)
Personalized therapy, in which a therapeutic practice is adapted to an i...
research
∙
10/07/2021
The Impact of Visualizing Design Gradients for Human Designers
Mixed-initiative Procedural Content Generation (PCG) refers to tools or ...
research
∙
10/07/2021
The Definition-Context-Purpose Paradigm and Other Insights from Industry Professionals About the Definition of a Quest
Among academic communities there is no single agreed upon definition of ...
research
∙
10/07/2021
Explaining Deep Reinforcement Learning Agents In The Atari Domain through a Surrogate Model
One major barrier to applications of deep Reinforcement Learning (RL) bo...
research
∙
10/07/2021
Tile Embedding: A General Representation for Procedural Level Generation via Machine Learning
In recent years, Procedural Level Generation via Machine Learning (PLGML...
research
∙
10/07/2021
Conceptual Expansion Neural Architecture Search (CENAS)
Architecture search optimizes the structure of a neural network for some...
research
∙
07/27/2021
Toward Co-creative Dungeon Generation via Transfer Learning
Co-creative Procedural Content Generation via Machine Learning (PCGML) r...
research
∙
07/27/2021
Generating Lode Runner Levels by Learning Player Paths with LSTMs
Machine learning has been a popular tool in many different fields, inclu...
research
∙
07/27/2021
Ensemble Learning For Mega Man Level Generation
Procedural content generation via machine learning (PCGML) is the proces...
research
∙
07/26/2021
TaikoNation: Patterning-focused Chart Generation for Rhythm Action Games
Generating rhythm game charts from songs via machine learning has been a...
research
∙
07/26/2021
Adversarial Random Forest Classifier for Automated Game Design
Autonomous game design, generating games algorithmically, has been a lon...
research
∙
10/04/2020
Entity Embedding as Game Representation
Procedural content generation via machine learning (PCGML) has shown suc...
research
∙
10/04/2020
Generating Gameplay-Relevant Art Assets with Transfer Learning
In game development, designing compelling visual assets that convey game...
research
∙
10/04/2020
Explainability via Responsibility
Procedural Content Generation via Machine Learning (PCGML) refers to a g...
research
∙
07/12/2020
Tabletop Roleplaying Games as Procedural Content Generators
Tabletop roleplaying games (TTRPGs) and procedural content generators ca...
research
∙
02/22/2020
Conceptual Game Expansion
Automated game design is the problem of automatically producing games th...
research
∙
11/20/2019
Integrating Automated Play in Level Co-Creation
In level co-creation an AI and human work together to create a video gam...
research
∙
09/05/2019
Automated Let's Play Commentary
Let's Plays of video games represent a relatively unexplored area for ex...
research
∙
06/10/2019
Making CNNs for Video Parsing Accessible
The ability to extract sequences of game events for high-resolution e-sp...
research
∙
03/22/2019
An Interaction Framework for Studying Co-Creative AI
Machine learning has been applied to a number of creative, design-orient...
research
∙
01/18/2019
Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creators
Machine learning advances have afforded an increase in algorithms capabl...
research
∙
09/25/2018
Towards Automated Let's Play Commentary
We introduce the problem of generating Let's Play-style commentary of ga...
research
∙
09/25/2018
Co-Creative Level Design via Machine Learning
Procedural Level Generation via Machine Learning (PLGML), the study of g...
research
∙
09/25/2018
Explainable PCGML via Game Design Patterns
Procedural content generation via Machine Learning (PCGML) is the umbrel...
research
∙
09/06/2018
Player Experience Extraction from Gameplay Video
The ability to extract the sequence of game events for a given player's ...
research
∙
09/06/2018
Automated Game Design via Conceptual Expansion
Automated game design has remained a key challenge within the field of G...
research
∙
05/09/2018
Creative Invention Benchmark
In this paper we present the Creative Invention Benchmark (CrIB), a 2000...
research
∙
02/10/2018
Combinets: Learning New Classifiers via Recombination
Problems with few examples of a new class of objects prove challenging t...
research
∙
02/02/2017
Procedural Content Generation via Machine Learning (PCGML)
This survey explores Procedural Content Generation via Machine Learning ...
research
∙
03/08/2016
Learning to Blend Computer Game Levels
We present an approach to generate novel computer game levels that blend...
research
∙
02/23/2016