Procedural Content Generation

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7 papers in the last four weeks, up 133% on the four weeks before. 0.1% of all new papers.

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Procedural Generation of First Person Shooter Maps using Map-Elites
May 28, 2026Simone de Donato, Pier Luca Lanzi, Daniele LoiaconoGenerative Modeling Procedural Content Generation
Politecnico di Milano — DEIB
Learning Local Constraints for Reinforcement-Learned Content Generators
May 13, 2026Debosmita Bhaumik, Julian Togelius, Georgios N. Yannakakis +1Constrained Generative Modeling Constrained RL
Institute of Digital Games, Msida, Malta · Game Innovation Lab, New York, New York, USA
Mazocarta: A Seeded Procedural Deckbuilder for Instrumented Game Development
May 8, 2026Timothy C. CoganProcedural Content Generation
Independent Researcher
Runtime Evaluation of Procedural Content Generation in an Endless Runner Game Using Autonomous Agents
May 3, 2026Rishabh KarGenerative Modeling Procedural Content Generation
Department of Informatics King’s College London London, United Kingdom
The Garden of Forking Paths: Threading Narrative Archetype as a Semantic Signal Through Gameplay Planning
May 2, 2026Yunge Wen, Chenliang Huang, Hangyu Zhou +6Interactive Storytelling Procedural Content Generation
Massachusetts Institute of Technology · New York University · Nanyang Technological University +1
From LLM-Driven Trading Card Generation to Procedural Relatedness: A Pokémon Case Study
Apr 30, 2026Johannes Pfau, Panagiotis VrettisGenerative Modeling Procedural Content Generation
Utrecht University · Utrecht, Netherlands
ProcFunc: Function-Oriented Abstractions for Procedural 3D Generation in Python
Apr 29, 2026Alexander Raistrick, Karhan Kayan, Jack Nugent +83D Asset Generation Synthetic Data Generation
Princeton University, Department of Computer Science
From World-Gen to Quest-Line: A Dependency-Driven Prompt Pipeline for Coherent RPG Generation
Apr 28, 2026Dominik Borawski, Marta Szulc, Robert Chudy +2LLM Prompting Generative Modeling
Gda´nsk University of Technology
Authoring for Living Worlds: Tool-Constrained LLM Agents for Executable Multi-Actor Scenarios
Apr 11, 2026Nicolae Cudlenco, Mihai Masala, Marius LeordeanuLLM Agent Orchestration Tool-Using Agents
Institute of Mathematics of the Romanian Academy, Bucharest, Romania · Büchi Labortechnik AG, Flawil, Switzerland · National University of Science and Technology Politehnica Bucharest, Romania
SimpleProc: Fully Procedural Synthetic Data from Simple Rules for Multi-View Stereo
Apr 6, 2026Zeyu Ma, Alexander Raistrick, Jia DengSynthetic Data Generation Multi-View 3D Reconstruction
Princeton University
DiscoGen: Procedural Generation of Algorithm Discovery Tasks in Machine Learning
Mar 18, 2026Alexander D. Goldie, Zilin Wang, Adrian Hayler +17Automated Algorithm Discovery Synthetic Benchmark Generation
University of Oxford · University of California, Santa Barbara · University College London +1
Programmable Cellular Automata
Date pendingAhmed Khalifa, Muhammad Umair Nasir, Matthew Siper +2Cellular Automata Generative Modeling
Institute of Digital Games, University of Malta, 20 L. Esperanto, L-Imsida, Malta · Nof1, 665 Broadway, Brooklyn, NY 10012, USA · University of the Witwatersrand, 1 Jan Smuts Ave, Braamfontein, Johannesburg, 2017, South Africa +1

May 28, 2026, cs.AIJ/K move · Enter open · S save

Procedural Generation of First Person Shooter Maps using Map-Elites

Simone de Donato, Pier Luca Lanzi, Daniele Loiacono

Politecnico di Milano — DEIB

Generative Modeling Procedural Content Generation Quality-Diversity Optimization

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We investigate the application of MAP-Elites (a well-known quality diversity algorithm) to design levels for First-Person Shooter (FPS) games. We consider two well-known map representations (All-Black and Grid-Graph) and introduce two novel representations (Point-Line and Spatial-Layout) that improve the characterization of FPS maps. We define a series of metrics to describe maps' topological properties (which solely depend on maps' layout), and emergent properties (which must be evaluated through actual gameplay). We perform an in-depth analysis to identify the most suitable features to guide MAP-Elites illumination process. We apply MAP-Elites with Sliding Boundaries (MESB) to evolve populations of FPS maps. Our results show that the new representations can generate maps with higher diversity and quality than the representations previously used for evolving FPS maps.

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Latest papers 42