Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMatthew Guzdial
Matthew James Guzdial
Person information
- affiliation: University of Alberta, Edmonton, AB, Canada
- affiliation (PhD 2019): Georgia Institute of Technology, Atlanta, GA, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[c48]Seth Cooper
, Emily Halina, Jichen Zhu, Matthew Guzdial:
Re-trainable Procedural Level Generation via Machine Learning (RT-PLGML) as Game Mechanic. FDG 2023: 69:1-69:3- [i46]Anurag Sarkar, Matthew Guzdial, Sam Snodgrass, Adam Summerville, Tiago Machado, Gillian Smith:
Procedural Content Generation via Knowledge Transformation (PCG-KT). CoRR abs/2305.00644 (2023) - [i45]Anahita Doosti, Matthew Guzdial:
Transfer Learning for Underrepresented Music Generation. CoRR abs/2306.00281 (2023) - [i44]Negar Mirgati, Matthew Guzdial:
Joint Level Generation and Translation Using Gameplay Videos. CoRR abs/2306.16662 (2023) - [i43]Venkata Sai Revanth Atmakuri, Seth Cooper, Matthew Guzdial:
Game Level Blending using a Learned Level Representation. CoRR abs/2306.16666 (2023) - [i42]Johor Jara Gonzalez, Matthew Guzdial:
Reconstructing Existing Levels through Level Inpainting. CoRR abs/2309.09472 (2023) - [i41]Johor Jara Gonzalez, Seth Cooper, Matthew Guzdial:
Mechanic Maker 2.0: Reinforcement Learning for Evaluating Generated Rules. CoRR abs/2309.09476 (2023) - 2022
- [j2]Matthew Guzdial, Mark O. Riedl:
Conceptual Game Expansion. IEEE Trans. Games 14(1): 93-106 (2022) - [c47]Kristen K. Yu, Matthew Guzdial, Nathan R. Sturtevant, Morgan Cselinacz, Chris Corfe, Izzy Hubert Lyall, Chris Smith:
Adventures of AI Directors Early in the Development of Nightingale. AIIDE 2022: 70-77 - [c46]Nazanin Yousefzadeh Khameneh, Matthew Guzdial:
World Models with an Entity-Based Representation. AIIDE 2022: 215-222 - [c45]Kristen K. Yu, Matthew Guzdial, Nathan R. Sturtevant:
FarmQuest: A Demonstration of an AI Director Video Game Test Bed. AIIDE 2022: 288-290 - [c44]Zisen Zhou, Zhongxi Lu, Matthew Guzdial, Fabrício Góes:
Creativity Evaluation Method for Procedural Content Generated Game Items via Machine Learning. DSA 2022: 249-253 - [c43]Dagmar Lukka Loftsdóttir, Matthew Guzdial:
SketchBetween: Video-to-Video Synthesis for Sprite Animation via Sketches. FDG 2022: 32:1-32:7 - [c42]Emily Halina, Matthew Guzdial:
Threshold Designer Adaptation: Improved Adaptation for Designers in Co-creative Systems. IJCAI 2022: 4943-4949 - [i40]Akash Saravanan, Matthew Guzdial:
Pixel VQ-VAEs for Improved Pixel Art Representation. CoRR abs/2203.12130 (2022) - [i39]Emily Halina, Matthew Guzdial:
Threshold Designer Adaptation: Improved Adaptation for Designers in Co-creative Systems. CoRR abs/2205.09269 (2022) - [i38]Dagmar Lukka Loftsdóttir, Matthew Guzdial:
SketchBetween: Video-to-Video Synthesis for Sprite Animation via Sketches. CoRR abs/2209.00185 (2022) - [i37]Faraz Khadivpour, Arghasree Banerjee, Matthew Guzdial:
Responsibility: An Example-based Explainable AI approach via Training Process Inspection. CoRR abs/2209.03433 (2022) - [i36]Mrunal Jadhav, Matthew Guzdial:
Clustering-based Tile Embedding (CTE): A General Representation for Level Design with Skewed Tile Distributions. CoRR abs/2210.12789 (2022) - [i35]Emily Halina, Matthew Guzdial:
Diversity-based Deep Reinforcement Learning Towards Multidimensional Difficulty for Fighting Game AI. CoRR abs/2211.02759 (2022) - [i34]Natalie Bombardieri, Matthew Guzdial:
Improving Deep Localized Level Analysis: How Game Logs Can Help. CoRR abs/2212.03376 (2022) - [i33]Kynan Sorochan, Matthew Guzdial:
Generating Real-Time Strategy Game Units Using Search-Based Procedural Content Generation and Monte Carlo Tree Search. CoRR abs/2212.03387 (2022) - 2021
- [c41]Matthew Guzdial, Nathan R. Sturtevant, Carolyn Yang:
The Impact of Visualizing Design Gradients for Human Designers. AIIDE 2021: 18-25 - [c40]Mrunal Jadhav, Matthew Guzdial:
Tile Embedding: A General Representation for Level Generation. AIIDE 2021: 34-41 - [c39]Alexander Sieusahai, Matthew Guzdial:
Explaining Deep Reinforcement Learning Agents in the Atari Domain through a Surrogate Model. AIIDE 2021: 82-90 - [c38]Kristen K. Yu, Matthew Guzdial, Nathan R. Sturtevant:
The Definition-Context-Purpose Paradigm and Other Insights from Industry Professionals about the Definition of a Quest. AIIDE 2021: 107-114 - [c37]Athar Mahmoudi-Nejad, Matthew Guzdial, Pierre Boulanger:
Arachnophobia Exposure Therapy Using Experience-Driven Procedural Content Generation via Reinforcement Learning (EDPCGRL). AIIDE 2021: 164-171 - [c36]Adrián González-Casillas, Matthew Guzdial, Félix Ramos:
A Tool for Generating Monster Silhouettes with a Word-Conditioned Variational Autoencoder. AIIDE 2021: 237-239 - [c35]Emily Halina, Matthew Guzdial:
A Demonstration of KiaiTime: A Mixed-Initiative PCGML Rhythm Game Editor. AIIDE 2021: 240-242 - [c34]Kristen K. Yu, Nathan R. Sturtevant, Matthew Guzdial:
Towards Disambiguating Quests as a Technical Term. FDG 2021: 8:1-8:11 - [c33]Thomas Maurer, Matthew Guzdial:
Adversarial Random Forest Classifier for Automated Game Design. FDG 2021: 48:1-48:6 - [c32]Bowei Li, Ruohan Chen, Yuqing Xue, Ricky Wang, Wenwen Li, Matthew Guzdial:
Ensemble Learning For Mega Man Level Generation. FDG 2021: 52:1-52:9 - [c31]Kynan Sorochan, Jerry Chen, Yakun Yu, Matthew Guzdial:
Generating Lode Runner Levels by Learning Player Paths with LSTMs. FDG 2021: 53:1-53:7 - [c30]Emily Halina, Matthew Guzdial:
TaikoNation: Patterning-focused Chart Generation for Rhythm Action Games. FDG 2021: 55:1-55:10 - [c29]Zisen Zhou, Matthew Guzdial:
Toward Co-creative Dungeon Generation via Transfer Learning. FDG 2021: 57:1-57:9 - [c28]Mohan Singamsetti, Anmol Mahajan, Matthew Guzdial:
Conceptual Expansion Neural Architecture Search (CENAS). ICCC 2021: 327-335 - [i32]Thomas Maurer, Matthew Guzdial:
Adversarial Random Forest Classifier for Automated Game Design. CoRR abs/2107.12501 (2021) - [i31]Emily Halina, Matthew Guzdial:
TaikoNation: Patterning-focused Chart Generation for Rhythm Action Games. CoRR abs/2107.12506 (2021) - [i30]Bowei Li, Ruohan Chen, Yuqing Xue, Ricky Wang, Wenwen Li, Matthew Guzdial:
Ensemble Learning For Mega Man Level Generation. CoRR abs/2107.12524 (2021) - [i29]Kynan Sorochan, Jerry Chen, Yakun Yu, Matthew Guzdial:
Generating Lode Runner Levels by Learning Player Paths with LSTMs. CoRR abs/2107.12532 (2021) - [i28]Zisen Zhou, Matthew Guzdial:
Toward Co-creative Dungeon Generation via Transfer Learning. CoRR abs/2107.12533 (2021) - [i27]Mohan Singamsetti, Anmol Mahajan, Matthew Guzdial:
Conceptual Expansion Neural Architecture Search (CENAS). CoRR abs/2110.03144 (2021) - [i26]Mrunal Jadhav, Matthew Guzdial:
Tile Embedding: A General Representation for Procedural Level Generation via Machine Learning. CoRR abs/2110.03181 (2021) - [i25]Alexander Sieusahai, Matthew Guzdial:
Explaining Deep Reinforcement Learning Agents In The Atari Domain through a Surrogate Model. CoRR abs/2110.03184 (2021) - [i24]Athar Mahmoudi-Nejad, Matthew Guzdial, Pierre Boulanger:
Arachnophobia Exposure Therapy using Experience-driven Procedural Content Generation via Reinforcement Learning (EDPCGRL). CoRR abs/2110.04146 (2021) - [i23]Matthew Guzdial, Nathan R. Sturtevant, Carolyn Yang:
The Impact of Visualizing Design Gradients for Human Designers. CoRR abs/2110.04147 (2021) - [i22]Kristen K. Yu, Matthew Guzdial, Nathan R. Sturtevant:
The Definition-Context-Purpose Paradigm and Other Insights from Industry Professionals About the Definition of a Quest. CoRR abs/2110.04148 (2021) - 2020
- [c27]Eugene Chen, Christoph Sydora, Brad Burega, Anmol Mahajan, Abdullah, Matthew Gallivan, Matthew Guzdial:
Image-to-Level: Generation and Repair. AIIDE 2020: 189-195 - [c26]Adrián González-Casillas, Matthew Guzdial, Félix Ramos:
Generating Gameplay-Relevant Art Assets with Transfer Learning. AIIDE Workshops 2020 - [c25]Faraz Khadivpour, Matthew Guzdial:
Explainability via Responsibility. AIIDE Workshops 2020 - [c24]Nazanin Yousefzadeh Khameneh, Matthew Guzdial:
Entity Embedding as Game Representation. AIIDE Workshops 2020 - [c23]Nathan R. Sturtevant, Nicolas Decroocq, Aaron Tripodi, Matthew Guzdial:
The Unexpected Consequence of Incremental Design Changes. AIIDE 2020: 130-136 - [c22]Vardan Saini, Matthew Guzdial:
A Demonstration of Mechanic Maker: An AI for Mechanics Co-Creation. AIIDE 2020: 325-327 - [c21]Nathan R. Sturtevant, Nicolas Decroocq, Aaron Tripodi, Carolyn Yang, Matthew Guzdial:
A Demonstration of Anhinga: A Mixed-Initiative EPCG Tool for Snakebird. AIIDE 2020: 328-330 - [c20]Kristen K. Yu, Nathan R. Sturtevant, Matthew Guzdial:
What is a Quest? AIIDE Workshops 2020 - [c19]Matthew Guzdial, Devi Acharya, Max Kreminski, Michael Cook, Mirjam Eladhari, Antonios Liapis, Anne Sullivan:
Tabletop Roleplaying Games as Procedural Content Generators. FDG 2020: 103:1-103:9 - [i21]Matthew Guzdial, Mark O. Riedl:
Conceptual Game Expansion. CoRR abs/2002.09636 (2020) - [i20]Matthew Guzdial, Devi Acharya, Max Kreminski, Michael Cook, Mirjam Eladhari, Antonios Liapis, Anne Sullivan:
Tabletop Roleplaying Games as Procedural Content Generators. CoRR abs/2007.06108 (2020) - [i19]Faraz Khadivpour, Matthew Guzdial:
Explainability via Responsibility. CoRR abs/2010.01676 (2020) - [i18]Adrián González-Casillas, Matthew Guzdial, Félix Ramos:
Generating Gameplay-Relevant Art Assets with Transfer Learning. CoRR abs/2010.01681 (2020) - [i17]Nazanin Yousefzadeh Khameneh, Matthew Guzdial:
Entity Embedding as Game Representation. CoRR abs/2010.01685 (2020)
2010 – 2019
- 2019
- [b1]Matthew James Guzdial:
Combinational Machine Learning Creativity. Georgia Institute of Technology, Atlanta, GA, USA, 2019 - [c18]Matthew Guzdial, Nicholas Liao, Jonathan Chen, Shao-Yu Chen, Shukan Shah, Vishwa Shah, Joshua Reno, Gillian Smith, Mark O. Riedl:
Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creators. CHI 2019: 624 - [c17]Zijin Luo, Matthew Guzdial, Mark O. Riedl:
Making CNNs for video parsing accessible: event extraction from DOTA2 gameplay video using transfer, zero-shot, and network pruning. FDG 2019: 16:1-16:10 - [c16]Matthew Guzdial, Mark O. Riedl:
Combinets: Creativity via Recombination of Neural Networks. ICCC 2019: 180-187 - [e1]Matthew Guzdial, Joseph C. Osborn, Sam Snodgrass:
Proceedings of the 2nd Workshop on Knowledge Extraction from Games co-located with 33rd AAAI Conference on Artificial Intelligence, KEG@AAAI 2019, Honolulu, Hawaii, January 27th, 2019. CEUR Workshop Proceedings 2313, CEUR-WS.org 2019 [contents] - [i16]Matthew Guzdial, Nicholas Liao, Jonathan Chen, Shao-Yu Chen, Shukan Shah, Vishwa Shah, Joshua Reno, Gillian Smith, Mark O. Riedl:
Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creators. CoRR abs/1901.06417 (2019) - [i15]Matthew Guzdial, Mark O. Riedl:
An Interaction Framework for Studying Co-Creative AI. CoRR abs/1903.09709 (2019) - [i14]Zijin Luo, Matthew Guzdial, Mark O. Riedl:
Making CNNs for Video Parsing Accessible. CoRR abs/1906.11877 (2019) - [i13]Shukan Shah, Matthew Guzdial, Mark O. Riedl:
Automated Let's Play Commentary. CoRR abs/1909.02195 (2019) - [i12]Andrew Hoyt, Matthew Guzdial, Yalini Kumar, Gillian Smith, Mark O. Riedl:
Integrating Automated Play in Level Co-Creation. CoRR abs/1911.09219 (2019) - 2018
- [j1]Adam Summerville, Sam Snodgrass, Matthew Guzdial, Christoffer Holmgård, Amy K. Hoover, Aaron Isaksen, Andy Nealen, Julian Togelius:
Procedural Content Generation via Machine Learning (PCGML). IEEE Trans. Games 10(3): 257-270 (2018) - [c15]Matthew Guzdial, Mark O. Riedl:
Combinatorial Creativity for Procedural Content Generation via Machine Learning. AAAI Workshops 2018: 557-564 - [c14]Matthew Guzdial, Nicholas Liao, Mark O. Riedl:
Co-Creative Level Design via Machine Learning. AIIDE Workshops 2018 - [c13]Matthew Guzdial, Mark O. Riedl:
Automated Game Design via Conceptual Expansion. AIIDE 2018: 31-37 - [c12]Matthew Guzdial, Joshua Reno, Jonathan Chen, Gillian Smith, Mark O. Riedl:
Explainable PCGML via Game Design Patterns. AIIDE Workshops 2018 - [c11]Matthew Guzdial, Shukan Shah, Mark O. Riedl:
Towards Automated Let's Play Commentary. AIIDE Workshops 2018 - [c10]Zijin Luo, Matthew Guzdial, Nicholas Liao, Mark O. Riedl:
Player Experience Extraction from Gameplay Video. AIIDE 2018: 52-58 - [c9]Vishwa Shah, Nicholas Liao, Matthew Guzdial, Mark O. Riedl:
Creative Invention Benchmark. ICCC 2018: 192-199 - [i11]Matthew Guzdial, Mark O. Riedl:
Combinets: Learning New Classifiers via Recombination. CoRR abs/1802.03605 (2018) - [i10]Matthew Guzdial, Nicholas Liao, Vishwa Shah, Mark O. Riedl:
Creative Invention Benchmark. CoRR abs/1805.03720 (2018) - [i9]Matthew Guzdial, Mark O. Riedl:
Automated Game Design via Conceptual Expansion. CoRR abs/1809.02232 (2018) - [i8]Zijin Luo, Matthew Guzdial, Nicholas Liao, Mark O. Riedl:
Player Experience Extraction from Gameplay Video. CoRR abs/1809.06201 (2018) - [i7]Matthew Guzdial, Joshua Reno, Jonathan Chen, Gillian Smith, Mark O. Riedl:
Explainable PCGML via Game Design Patterns. CoRR abs/1809.09419 (2018) - [i6]Matthew Guzdial, Nicholas Liao, Mark O. Riedl:
Co-Creative Level Design via Machine Learning. CoRR abs/1809.09420 (2018) - [i5]Matthew Guzdial, Shukan Shah, Mark O. Riedl:
Towards Automated Let's Play Commentary. CoRR abs/1809.09424 (2018) - 2017
- [c8]Matthew Guzdial, Jonathan Chen, Shao-Yu Chen, Mark O. Riedl:
A General Level Design Editor for Co-Creative Level Design. AIIDE Workshops 2017 - [c7]Kristin Siu, Matthew Guzdial, Mark O. Riedl:
Evaluating singleplayer and multiplayer in human computation games. FDG 2017: 34:1-34:10 - [c6]Nicholas Liao, Matthew Guzdial, Mark O. Riedl:
Deep convolutional player modeling on log and level data. FDG 2017: 41:1-41:4 - [c5]Matthew Guzdial, Boyang Li, Mark O. Riedl:
Game Engine Learning from Video. IJCAI 2017: 3707-3713 - [i4]Adam Summerville, Sam Snodgrass, Matthew Guzdial, Christoffer Holmgård, Amy K. Hoover, Aaron Isaksen, Andy Nealen, Julian Togelius:
Procedural Content Generation via Machine Learning (PCGML). CoRR abs/1702.00539 (2017) - [i3]Kristin Siu, Matthew Guzdial, Mark O. Riedl:
Evaluating Singleplayer and Multiplayer in Human Computation Games. CoRR abs/1703.00818 (2017) - 2016
- [c4]Matthew Guzdial, Mark O. Riedl:
Game Level Generation from Gameplay Videos. AIIDE 2016: 44-50 - [c3]Alexander E. Zook, Michael Cook, Eric Butler, Kristin Siu, Matthew Guzdial, Mark O. Riedl, James Owen Ryan, Ben Samuel, Adam Summerville, Michael Mateas, Noah Wardrip-Fruin:
Playable Experiences at AIIDE 2016. AIIDE 2016: 251- - [c2]Matthew Guzdial, Mark O. Riedl:
Learning to Blend Computer Game Levels. ICCC 2016: 354-362 - [i2]Matthew Guzdial, Mark O. Riedl:
Toward Game Level Generation from Gameplay Videos. CoRR abs/1602.07721 (2016) - [i1]Matthew Guzdial, Mark O. Riedl:
Learning to Blend Computer Game Levels. CoRR abs/1603.02738 (2016) - 2015
- [c1]Matthew Guzdial, Brent Harrison, Boyang Li, Mark O. Riedl:
Crowdsourcing Open Interactive Narrative. FDG 2015
Coauthor Index
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2023-09-25 00:46 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
