World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
19681
World Ranking
1512
National Ranking
787

Overview

Julian Togelius is affiliated with New York University in the United States and has published extensively in the field of computer science, with a strong focus on artificial intelligence and its applications in games and digital media.

Their research spans several subfields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Sociology and Political Science
  • Signal Processing
  • Developmental and Educational Psychology

Main topics of their research include:

  • Artificial Intelligence in Games
  • Digital Games and Media
  • Reinforcement Learning in Robotics
  • Video Analysis and Summarization
  • Topic Modeling
  • Natural Language Processing Techniques
  • Evolutionary Algorithms and Applications

Togelius has authored or coauthored papers featured prominently in several publication venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Games
  • Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment
  • IEEE Computational Intelligence Magazine
  • 2020 IEEE Conference on Games (CoG)

Recent notable papers include:

  • "Deep learning for procedural content generation," 2020, Neural Computing and Applications
  • "Physics-informed attention-based neural network for hyperbolic partial differential equations: application to the Buckley-Leverett problem," 2022, Scientific Reports
  • "Large Language Models and Games: A Survey and Roadmap," 2024, IEEE Transactions on Games
  • "Transforming Exploratory Creativity with DeLeNoX," 2021, arXiv (Cornell University)
  • "Learning Controllable Content Generators," 2021, 2021 IEEE Conference on Games (CoG)

The list of frequent coauthors highlights collaborative work with:

  • Ahmed Khalifa
  • Sam Earle
  • Michael Cerny Green
  • M Charity
  • Yaochu Jin

In addition to journal and conference papers, Julian Togelius has contributed to scholarly books, including:

  • Artificial General Intelligence, published by The MIT Press in 2024
  • General Video Game Artificial Intelligence, published by Morgan & Claypool Publishers in 2020

Their works exhibit a consistent focus on the intersection of artificial intelligence and interactive digital entertainment, incorporating methods from reinforcement learning, evolutionary algorithms, and natural language processing.

Best Publications

  • Search-Based Procedural Content Generation: A Taxonomy and Survey

    J. Togelius;G. N. Yannakakis;K. O. Stanley;C. Browne

  • Procedural Content Generation in Games

    Noor Shaker;Julian Togelius;Mark J. Nelson

  • Experience-Driven Procedural Content Generation

    G. N. Yannakakis;J. Togelius

  • Artificial Intelligence and Games

    Georgios N. Yannakakis;Julian Togelius

  • Towards automatic personalised content creation for racing games

    J. Togelius;R. De Nardi;S.M. Lucas

  • Procedural Content Generation via Machine Learning (PCGML)

    Adam Summerville;Sam Snodgrass;Matthew Guzdial;Christoffer Holmgard

  • An experiment in automatic game design

    J. Togelius;J. Schmidhuber

  • Modeling Player Experience for Content Creation

    C. Pedersen;J. Togelius;G.N. Yannakakis

  • Towards automatic personalized content generation for platform games

    Noor Shaker;Georgios Yannakakis;Julian Togelius

  • The 2014 General Video Game Playing Competition

    Diego Perez-Liebana;Spyridon Samothrakis;Julian Togelius;Tom Schaul

  • Deep Learning for Video Game Playing

    Niels Justesen;Philip Bontrager;Julian Togelius;Sebastian Risi

  • Sentient sketchbook : computer-assisted game level authoring

    Antonios Liapis;Georgios N. Yannakakis;Julian Togelius

  • AlphaStar: an evolutionary computation perspective

    Kai Arulkumaran;Antoine Cully;Julian Togelius

  • A Panorama of Artificial and Computational Intelligence in Games

    Georgios N. Yannakakis;Julian Togelius

  • Modeling player experience in Super Mario Bros

    Chris Pedersen;Julian Togelius;Georgios N. Yannakakis

  • What is procedural content generation?: Mario on the borderline

    Julian Togelius;Emil Kastbjerg;David Schedl;Georgios N. Yannakakis

  • The 2009 Mario AI Competition

    Julian Togelius;Sergey Karakovskiy;Robin Baumgarten

  • General Video Game AI: competition, challenges, and opportunities

    Diego Perez-Liebana;Spyridon Samothrakis;Julian Togelius;Simon M. Lucas

  • Cellular automata for real-time generation of infinite cave levels

    Lawrence Johnson;Georgios N. Yannakakis;Julian Togelius

  • The Mario AI Benchmark and Competitions

    S. Karakovskiy;J. Togelius

  • Search-based procedural content generation

    Julian Togelius;Georgios N. Yannakakis;Kenneth O. Stanley;Cameron Browne

Frequent Co-Authors

Georgios N. Yannakakis
Georgios N. Yannakakis University of Malta
Simon M. Lucas
Simon M. Lucas Queen Mary University of London
Sebastian Risi
Sebastian Risi IT University of Copenhagen
Mike Preuss
Mike Preuss Leiden University
Jürgen Schmidhuber
Jürgen Schmidhuber King Abdullah University of Science and Technology
Tom Schaul
Tom Schaul DeepMind (United Kingdom)
Pier Luca Lanzi
Pier Luca Lanzi Polytechnic University of Milan
Leandro dos Santos Coelho
Leandro dos Santos Coelho Federal University of Paraná
Daan Wierstra
Daan Wierstra DeepMind (United Kingdom)
Nasir Memon
Nasir Memon New York University

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