Julian Togelius
Professor
Works on artificial intelligence for games, including procedural content generation, player modelling and neuroevolution.
Julian Togelius's lab at NYU works in Machine Learning. 44 papers since 2023, 3 at top venues, mostly AAAI and Nature Machine Intelligence. 11 PhD students. 19 alumni. Applications close .
At a glance
- papers, 2023–2026
- 11/ year
- at T1 venues
- 7%
- PhD students
- 11
- MS students
- 0
- alumni listed
- 19
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 9 papers2025 · T1 2
- 20 papers2024 · T1 1
- 15 papers2023 · T1 0
T1 venuesOtherVenues: AAAI, Nature Machine Intelligence, NeurIPS, TAFFC, WACV
Research focuspaper titles that use each topic's words
- games8 papers
- content3 papers
- content generation2 papers
- procedural1 paper
- tandon0 papers
Paper list
From the lab homepage.
20259 papers
- Springer Nature SwitzerlandArtificial Intelligence and Games (opens in a new tab)
- Proceedings of the Computer Vision and Pattern Recognition ConferenceClassifier-Free Guidance Inside the Attraction Basin May Cause Memorization (opens in a new tab)
- EPJ Quantum TechnologyDefining quantum games (opens in a new tab)
- ZoteroGoal Inference using Reward-Producing Programs in a Novel Physics Environment (opens in a new tab)
- Nature Machine Intelligence (T1)Goals as reward-producing programs (opens in a new tab)
- AAAI (T1)Moonshine: Distilling Game Content Generators into Steerable Generative Models (opens in a new tab)
- Proceedings of the International Conference on the Foundations of Digital GamesThe Procedural Content Generation Benchmark: An Open-source Testbed for Generative Challenges in Games (opens in a new tab)
- Applications of Evolutionary ComputationUnderstanding Trade-Offs in Classifier Bias with Quality-Diversity Optimization: An Application to Talent Management (opens in a new tab)
- ProQuestWord2Minecraft: Generating 3D Game Levels Through Large Language Models (opens in a new tab)
202420 papers
- WACVAlpha-Wolves and Alpha-Mammals: Exploring Dictionary Attacks on Iris Recognition Systems (opens in a new tab)
- CECAmorphous Fortress: Exploring Emergent Behavior and Complexity in Multi-Agent 0-Player Games (opens in a new tab)
- IEEE Transactions on GamesBaba is Y'all 2.0: Design and Investigation of a Collaborative Mixed-Initiative System (opens in a new tab)
- CoGChatGPT4PCG 2 Competition: Prompt Engineering for Science Birds Level Generation (opens in a new tab)
- Proceedings of the IEEEChoose Your Weapon: Survival Strategies for Depressed AI Academics [Point of View] (opens in a new tab)
- Proceedings of the International Conference on the Foundations of Digital GamesDreamCraft: Text-Guided Generation of Functional 3D Environments in Minecraft (opens in a new tab)
- Handbook of Evolutionary Machine LearningEvolutionary Machine Learning and Games (opens in a new tab)
- NeurIPS (T1)GAVEL: Generating Games via Evolution and Language Models (opens in a new tab)
- IEEE Transactions on GamesLarge Language Models and Games: A Survey and Roadmap (opens in a new tab)
- Proceedings of the Genetic and Evolutionary Computation ConferenceLLMatic: Neural Architecture Search Via Large Language Models And Quality Diversity Optimization (opens in a new tab)
- Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital EntertainmentMaking New Connections: LLMs as Puzzle Generators for the New York Times' Connections Word Game (opens in a new tab)
- CoGMissed Connections: Lateral Thinking Puzzles for Large Language Models (opens in a new tab)
202315 papers
- CoGChatGPT4PCG Competition: Character-like Level Generation for Science Birds (opens in a new tab)
- CoGControllable Path of Destruction (opens in a new tab)
- US11617954B2Experience based game development and methods for use therewith (opens in a new tab)
- IEEE Transactions on GamesGenerating and Adapting to Diverse Ad Hoc Partners in Hanabi (opens in a new tab)
- CoGGenerating Redstone Style Cities in Minecraft (opens in a new tab)
- Proceedings of the International Conference on the Foundations of Digital GamesInteractive Latent Variable Evolution for the Generation of Minecraft Structures (opens in a new tab)
- Proceedings of the International Conference on the Foundations of Digital GamesLevel Generation Through Large Language Models (opens in a new tab)
- Proceedings of the International Conference on the Foundations of Digital GamesLode Enhancer: Level Co-creation Through Scaling (opens in a new tab)
- IEEE Transactions on GamesModel-Free Neural Counterfactual Regret Minimization With Bootstrap Learning (opens in a new tab)
- US11826650B2Multimodal experience modeling for gaming applications (opens in a new tab)
- CoGPractical PCG Through Large Language Models (opens in a new tab)
- IEEE Transactions on GamesReinforcement Learning With Dual-Observation for General Video Game Playing (opens in a new tab)
Where alumni went19 listed
Apply to NYUFall 2027
Computer Science PhD (Courant / Tandon)
- Round
- Single round (December)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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