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Procedural content generation through quality diversity
Quality-diversity (QD) algorithms search for a set of good solutions which cover a space as
defined by behavior metrics. This simultaneous focus on quality and diversity with explicit …
defined by behavior metrics. This simultaneous focus on quality and diversity with explicit …
AIM 2020 challenge on image extreme inpainting
This paper reviews the AIM 2020 challenge on extreme image inpainting. This report
focuses on proposed solutions and results for two different tracks on extreme image …
focuses on proposed solutions and results for two different tracks on extreme image …
Procedural puzzle generation: A survey
Procedural content generation (PCG) for games has existed since the 1980s and is
becoming increasingly important for creating game worlds, backstory, and characters across …
becoming increasingly important for creating game worlds, backstory, and characters across …
RALF: an adaptive reinforcement learning framework for teaching dyslexic students
Dyslexia is a learning disorder in which individuals have significant reading difficulties.
Previous studies found that using machine learning techniques in content supplements is …
Previous studies found that using machine learning techniques in content supplements is …
[کتاب][B] Curating simulated storyworlds
J Ryan - 2018 - search.proquest.com
There is a peculiar method in the area of procedural narrative called emergent narrative:
instead of automatically inventing stories or deploying authored narrative content, a system …
instead of automatically inventing stories or deploying authored narrative content, a system …
Orchestrating game generation
The design process is often characterized by and realized through the iterative steps of
evaluation and refinement. When the process is based on a single creative domain such as …
evaluation and refinement. When the process is based on a single creative domain such as …
Enhancing wave function collapse with design-level constraints
Wave Function Collapse (WFC) is a non-backtracking, greedy search algorithm that is
commonly known for its ability to take an example image and generate similar images. Since …
commonly known for its ability to take an example image and generate similar images. Since …
10 Years of the PCG workshop: Past and Future Trends
As of 2020, the international workshop on Procedural Content Generation enters its second
decade. The annual workshop, hosted by the international conference on the Foundations of …
decade. The annual workshop, hosted by the international conference on the Foundations of …
Multi-domain level generation and blending with sketches via example-driven bsp and variational autoencoders
Procedural content generation via machine learning (PCGML) has demonstrated its
usefulness as a content and game creation approach, and has been shown to be able to …
usefulness as a content and game creation approach, and has been shown to be able to …
Path of destruction: Learning an iterative level generator using a small dataset
We propose a new procedural content generation method which learns iterative level
generators from a dataset of existing levels. The Path of Destruction method, as we call it …
generators from a dataset of existing levels. The Path of Destruction method, as we call it …