activity
20042025
most citedDeep Learning for Procedural Content Generation

143 citations · 1.3k across the 89 of their papers we have counts for

collaborators

119 papers

cs.AI2025

The Procedural Content Generation Benchmark: An Open-source Testbed for Generative Challenges in Games

Ahmed Khalifa, Roberto Gallotta, Matthew Barthet +3

This paper introduces the Procedural Content Generation Benchmark for evaluating generative algorithms on different game content creation tasks. The benchmark comes with 12 game-re…

cs.HC2024★ 1 cited

Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors

Niels Justesen, Maria Kaselimi, Sam Snodgrass +12

Artificial intelligence (AI) has enabled agents to master complex video games, from first-person shooters like Counter-Strike to real-time strategy games such as StarCraft II and r…

cs.NE2024★ 1 cited

Understanding trade-offs in classifier bias with quality-diversity optimization: an application to talent management

Catalina M Jaramillo, Paul Squires, Julian Togelius

Fairness,the impartial treatment towards individuals or groups regardless of their inherent or acquired characteristics [20], is a critical challenge for the successful implementat…

cs.AI2023

Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO

Yangkun Chen, Joseph Suarez, Junjie Zhang +18

We present the results of the second Neural MMO challenge, hosted at IJCAI 2022, which received 1600+ submissions. This competition targets robustness and generalization in multi-a…

cs.IR2023★ 1 cited

A Preliminary Study on a Conceptual Game Feature Generation and Recommendation System

M Charity, Yash Bhartia, Daniel Zhang +2

This paper introduces a system used to generate game feature suggestions based on a text prompt. Trained on the game descriptions of almost 60k games, it uses the word embeddings o…

cs.LG2023★ 1 cited

Lode Enhancer: Level Co-creation Through Scaling

Debosmita Bhaumik, Julian Togelius, Georgios N. Yannakakis +1

We explore AI-powered upscaling as a design assistance tool in the context of creating 2D game levels. Deep neural networks are used to upscale artificially downscaled patches of l…