Crowdsourcing Open Interactive Narrative. - Matthew Guzdial; Brent Harrison; Boyang Li 001; Mark O. Riedl (FDG, 2015)

Game Level Generation from Gameplay Videos. - Matthew Guzdial; Mark O. Riedl (AIIDE, 2016)

Playable Experiences at AIIDE 2016. - Alexander E. Zook; Michael Cook 001; Eric Butler; Kristin Siu; Matthew Guzdial; Mark O. Riedl; James Owen Ryan; Ben Samuel; Adam Summerville; Michael Mateas; Noah Wardrip-Fruin (AIIDE, 2016)

Learning to Blend Computer Game Levels. - Matthew Guzdial; Mark O. Riedl (ICCC, 2016)

Toward Game Level Generation from Gameplay Videos. - Matthew Guzdial; Mark O. Riedl (CoRR, 2016)

A General Level Design Editor for Co-Creative Level Design. - Matthew Guzdial; Jonathan Chen; Shao-Yu Chen; Mark O. Riedl (AIIDE Workshops, 2017)

Deep convolutional player modeling on log and level data. - Nicholas Liao; Matthew Guzdial; Mark O. Riedl (FDG, 2017)

Evaluating singleplayer and multiplayer in human computation games. - Kristin Siu; Matthew Guzdial; Mark O. Riedl (FDG, 2017)

Game Engine Learning from Video. - Matthew Guzdial; Boyang Li 001; Mark O. Riedl (IJCAI, 2017)

Combinatorial Creativity for Procedural Content Generation via Machine Learning. - Matthew Guzdial; Mark O. Riedl (AAAI Workshops, 2018)

Co-Creative Level Design via Machine Learning. - Matthew Guzdial; Nicholas Liao; Mark O. Riedl (AIIDE Workshops, 2018)

Automated Game Design via Conceptual Expansion. - Matthew Guzdial; Mark O. Riedl (AIIDE, 2018)

Explainable PCGML via Game Design Patterns. - Matthew Guzdial; Joshua Reno; Jonathan Chen; Gillian Smith 001; Mark O. Riedl (AIIDE Workshops, 2018)

Towards Automated Let's Play Commentary. - Matthew Guzdial; Shukan Shah; Mark O. Riedl (AIIDE Workshops, 2018)

Player Experience Extraction from Gameplay Video. - Zijin Luo; Matthew Guzdial; Nicholas Liao; Mark O. Riedl (AIIDE, 2018)

Creative Invention Benchmark. - Vishwa Shah; Nicholas Liao; Matthew Guzdial; Mark O. Riedl (ICCC, 2018)

Combinets: Learning New Classifiers via Recombination. - Matthew Guzdial; Mark O. Riedl (CoRR, 2018)

Procedural Content Generation via Machine Learning (PCGML). - Adam Summerville; Sam Snodgrass; Matthew Guzdial; Christoffer Holmgård; Amy K. Hoover; Aaron Isaksen; Andy Nealen; Julian Togelius (IEEE Trans. Games, 2018)

Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creators. - Matthew Guzdial; Nicholas Liao; Jonathan Chen; Shao-Yu Chen; Shukan Shah; Vishwa Shah; Joshua Reno; Gillian Smith 001; Mark O. Riedl (CHI, 2019)

Making CNNs for video parsing accessible: event extraction from DOTA2 gameplay video using transfer, zero-shot, and network pruning. - Zijin Luo; Matthew Guzdial; Mark O. Riedl (FDG, 2019)

Combinets: Creativity via Recombination of Neural Networks. - Matthew Guzdial; Mark O. Riedl (ICCC, 2019)

An Interaction Framework for Studying Co-Creative AI. - Matthew Guzdial; Mark O. Riedl (CoRR, 2019)

Making CNNs for Video Parsing Accessible. - Zijin Luo; Matthew Guzdial; Mark O. Riedl (CoRR, 2019)

Automated Let's Play Commentary. - Shukan Shah; Matthew Guzdial; Mark O. Riedl (CoRR, 2019)

Integrating Automated Play in Level Co-Creation. - Andrew Hoyt; Matthew Guzdial; Yalini Kumar; Gillian Smith 001; Mark O. Riedl (CoRR, 2019)

Combinational Machine Learning Creativity. - Matthew James Guzdial (2019)

Image-to-Level: Generation and Repair. - Eugene Chen; Christoph Sydora; Brad Burega; Anmol Mahajan; Abdullah; Matthew Gallivan; Matthew Guzdial (AIIDE, 2020)

Generating Gameplay-Relevant Art Assets with Transfer Learning. - Adrián González-Casillas; Matthew Guzdial; Félix Ramos 001 (AIIDE Workshops, 2020)

Explainability via Responsibility. - Faraz Khadivpour; Matthew Guzdial (AIIDE Workshops, 2020)

Entity Embedding as Game Representation. - Nazanin Yousefzadeh Khameneh; Matthew Guzdial (AIIDE Workshops, 2020)

A Demonstration of Mechanic Maker: An AI for Mechanics Co-Creation. - Vardan Saini; Matthew Guzdial (AIIDE, 2020)

The Unexpected Consequence of Incremental Design Changes. - Nathan R. Sturtevant; Nicolas Decroocq; Aaron Tripodi; Matthew Guzdial (AIIDE, 2020)

A Demonstration of Anhinga: A Mixed-Initiative EPCG Tool for Snakebird. - Nathan R. Sturtevant; Nicolas Decroocq; Aaron Tripodi; Carolyn Yang; Matthew Guzdial (AIIDE, 2020)

What is a Quest? - Kristen K. Yu; Nathan R. Sturtevant; Matthew Guzdial (AIIDE Workshops, 2020)

Tabletop Roleplaying Games as Procedural Content Generators. - Matthew Guzdial; Devi Acharya; Max Kreminski; Michael Cook 001; Mirjam Eladhari; Antonios Liapis; Anne Sullivan (FDG, 2020)

A Tool for Generating Monster Silhouettes with a Word-Conditioned Variational Autoencoder. - Adrián González-Casillas; Matthew Guzdial; Félix Ramos 001 (AIIDE, 2021)

The Impact of Visualizing Design Gradients for Human Designers. - Matthew Guzdial; Nathan R. Sturtevant; Carolyn Yang (AIIDE, 2021)

A Demonstration of KiaiTime: A Mixed-Initiative PCGML Rhythm Game Editor. - Emily Halina; Matthew Guzdial (AIIDE, 2021)

Tile Embedding: A General Representation for Level Generation. - Mrunal Jadhav; Matthew Guzdial (AIIDE, 2021)

Arachnophobia Exposure Therapy Using Experience-Driven Procedural Content Generation via Reinforcement Learning (EDPCGRL). - Athar Mahmoudi-Nejad; Matthew Guzdial; Pierre Boulanger (AIIDE, 2021)

Explaining Deep Reinforcement Learning Agents in the Atari Domain through a Surrogate Model. - Alexander Sieusahai; Matthew Guzdial (AIIDE, 2021)

The Definition-Context-Purpose Paradigm and Other Insights from Industry Professionals about the Definition of a Quest. - Kristen K. Yu; Matthew Guzdial; Nathan R. Sturtevant (AIIDE, 2021)

TaikoNation: Patterning-focused Chart Generation for Rhythm Action Games. - Emily Halina; Matthew Guzdial (FDG, 2021)

Ensemble Learning For Mega Man Level Generation. - Bowei Li; Ruohan Chen; Yuqing Xue; Ricky Wang; Wenwen Li; Matthew Guzdial (FDG, 2021)

Adversarial Random Forest Classifier for Automated Game Design. - Thomas Maurer; Matthew Guzdial (FDG, 2021)

Generating Lode Runner Levels by Learning Player Paths with LSTMs. - Kynan Sorochan; Jerry Chen; Yakun Yu; Matthew Guzdial (FDG, 2021)

Towards Disambiguating Quests as a Technical Term. - Kristen K. Yu; Nathan R. Sturtevant; Matthew Guzdial (FDG, 2021)

Toward Co-creative Dungeon Generation via Transfer Learning. - Zisen Zhou; Matthew Guzdial (FDG, 2021)

Conceptual Expansion Neural Architecture Search (CENAS). - Mohan Singamsetti; Anmol Mahajan; Matthew Guzdial (ICCC, 2021)

Tile Embedding: A General Representation for Procedural Level Generation via Machine Learning. - Mrunal Jadhav; Matthew Guzdial (CoRR, 2021)

World Models with an Entity-Based Representation. - Nazanin Yousefzadeh Khameneh; Matthew Guzdial (AIIDE, 2022)

FarmQuest: A Demonstration of an AI Director Video Game Test Bed. - Kristen K. Yu; Matthew Guzdial; Nathan R. Sturtevant (AIIDE, 2022)

Adventures of AI Directors Early in the Development of Nightingale. - Kristen K. Yu; Matthew Guzdial; Nathan R. Sturtevant; Morgan Cselinacz; Chris Corfe; Izzy Hubert Lyall; Chris Smith (AIIDE, 2022)

Creativity Evaluation Method for Procedural Content Generated Game Items via Machine Learning. - Zisen Zhou; Zhongxi Lu; Matthew Guzdial; Fabrício Góes (DSA, 2022)

SketchBetween: Video-to-Video Synthesis for Sprite Animation via Sketches. - Dagmar Lukka Loftsdóttir; Matthew Guzdial (FDG, 2022)

Threshold Designer Adaptation: Improved Adaptation for Designers in Co-creative Systems. - Emily Halina; Matthew Guzdial (IJCAI, 2022)

Pixel VQ-VAEs for Improved Pixel Art Representation. - Akash Saravanan; Matthew Guzdial (CoRR, 2022)

Responsibility: An Example-based Explainable AI approach via Training Process Inspection. - Faraz Khadivpour; Arghasree Banerjee; Matthew Guzdial (CoRR, 2022)

Clustering-based Tile Embedding (CTE): A General Representation for Level Design with Skewed Tile Distributions. - Mrunal Jadhav; Matthew Guzdial (CoRR, 2022)

Diversity-based Deep Reinforcement Learning Towards Multidimensional Difficulty for Fighting Game AI. - Emily Halina; Matthew Guzdial (CoRR, 2022)

Improving Deep Localized Level Analysis: How Game Logs Can Help. - Natalie Bombardieri; Matthew Guzdial (CoRR, 2022)

Generating Real-Time Strategy Game Units Using Search-Based Procedural Content Generation and Monte Carlo Tree Search. - Kynan Sorochan; Matthew Guzdial (CoRR, 2022)

Conceptual Game Expansion. - Matthew Guzdial; Mark O. Riedl (IEEE Trans. Games, 2022)

Mechanic Maker 2.0: Reinforcement Learning for Evaluating Generated Rules. - Johor Jara Gonzalez; Seth Cooper; Matthew Guzdial (AIIDE, 2023)

Reconstructing Existing Levels through Level Inpainting. - Johor Jara Gonzalez; Matthew Guzdial (AIIDE, 2023)

Tree-Based Reconstructive Partitioning: A Novel Low-Data Level Generation Approach. - Emily Halina; Matthew Guzdial (AIIDE, 2023)

Game Level Blending using a Learned Level Representation. - Venkata Sai Revanth Atmakuri; Seth Cooper; Matthew Guzdial (CoG, 2023)

path2level: Constraint-Based Level Generation from Paths. - Seth Cooper; Matthew Guzdial (CoG, 2023)

Joint Level Generation and Translation Using Gameplay Videos. - Negar Mirgati; Matthew Guzdial (CoG, 2023)

Re-trainable Procedural Level Generation via Machine Learning (RT-PLGML) as Game Mechanic. - Seth Cooper; Emily Halina; Jichen Zhu; Matthew Guzdial (FDG, 2023)

Transfer learning for Underrepresented Music Generation. - Anahita Doosti; Matthew Guzdial (ICCC, 2023)

Label-Free Subjective Player Experience Modelling via Let's Play Videos. - Dave Goel; Athar Mahmoudi-Nejad; Matthew Guzdial (AIIDE, 2024)

Mechanic Maker: Accessible Game Development via Symbolic Learning Program Synthesis. - Megan Sumner; Vardan Saini; Matthew Guzdial (AIIDE, 2024)

Evaluating the Effects of AI Directors for Quest Selection. - Kristen K. Yu; Matthew Guzdial; Nathan R. Sturtevant (AIIDE, 2024)

The FarmQuest Player Telemetry Dataset: Playthrough Data of a Cozy Farming Game. - Kristen K. Yu; Matthew Guzdial; Nathan R. Sturtevant (AIIDE, 2024)

Human-AI Interaction Generation: A Connective Lens for Generative AI and Procedural Content Generation. - Matthew Guzdial (IJCAI, 2024)

Spiders Based on Anxiety: How Reinforcement Learning Can Deliver Desired User Experience in Virtual Reality Personalized Arachnophobia Treatment. - Athar Mahmoudi-Nejad; Matthew Guzdial; Pierre Boulanger (CoRR, 2024)

Stress Detection from Photoplethysmography in a Virtual Reality Environment. - Athar Mahmoudi-Nejad; Pierre Boulanger; Matthew Guzdial (CoRR, 2024)

Procedural Content Generation via Knowledge Transformation (PCG-KT). - Anurag Sarkar; Matthew Guzdial; Sam Snodgrass; Adam Summerville; Tiago Machado; Gillian Smith 001 (IEEE Trans. Games, 2024)

A Framework for Predicting the Impact of Game Balance Changes Through Meta Discovery. - Akash Saravanan; Matthew Guzdial (IEEE Trans. Games, 2024)

Personalizing Exposure Therapy via Reinforcement Learning. - Athar Mahmoudi-Nejad; Matthew Guzdial; Pierre Boulanger (CoRR, 2025)

A Systematic Approach to Design Real-World Human-in-the-Loop Deep Reinforcement Learning: Salient Features, Challenges and Trade-offs. - Jalal Arabneydi; Md. Saiful Islam 007; Srijita Das 001; Sai Krishna Gottipati; William Duguay; Clodéric Mars; Matthew E. Taylor; Matthew Guzdial; Antoine Fagette; Younes Zerouali (CoRR, 2025)

Human-AI collaboration in real-world complex environment with reinforcement learning. - Md. Saiful Islam 007; Srijita Das 001; Sai Krishna Gottipati; William Duguay; Clodéric Mars; Jalal Arabneydi; Antoine Fagette; Matthew Guzdial; Matthew E. Taylor (Neural Comput. Appl., 2025)