Publications

2019

Prithviraj Ammanbrolu and Mark O. Riedl. Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning. Proceedings of NAACL 2019.

Upol Ehsan and Mark O. Riedl. On Design and Evaluation of Human-centered Explainable AI systems. Proceedings of the 2019 CHI Workshop on Human-Centered Machine Learning, 2019.

Matthew Guzdial and Mark O. Riedl. An Interaction Framework for Studying Co-Creative AI. Proceedings of the 2019 CHI Workshop on Human-Centered Machine Learning, 2019.

Matthew Guzdial, Nicholas Liao, Jonathan Chen, Chen Shao-Yu, Shukan Shah, Vishwa Shah, Joshua Reno, Gillian Smith, and Mark O. Riedl. Friend, collaborator, student, manager: How design of an AI-driven game level editor affects creators. Proceedings of the 2019 ACM SIGCHI Conference on Human-Factors, 2019.

Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, and Mark O. Riedl. Automated rationale generation: A technique for explainable AI and its effects on human perceptions. In Proceedings of the 2019 ACM International Conference on Intelligent User Interfaces, 2019.

2018

Matthew Guzdial, Nicholas Liao, and Mark Riedl. Co-creative level design via machine learning. Proceedings of the 2018 AAAI Workshop on Experimental AI in Games, 2018.

Matthew Guzdial, Shukan Shah, and Mark Riedl. Towards automated lets play commentary. Proceedings of ther 2018 AAAI Workshop on Experimental AI in Games, 2018.

Matthew Guzdial, Josh Reno, Jonathan Chen, Gillian Smith, and Mark O. Riedl. Explainable PCGML via design patterns. Proceedings of the 2018 AAAI Workshop on Experimental AI in Games, 2018.

Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, and Mark O. Riedl. Learning to generate natural language rationales for game playing agents. Proceedings of the 2018 AAAI Workshop on Experimental AI in Games, 2018.

Lara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang, William Hancock, Shruti Singh, Brent Harrison, and Mark O. Riedl. Event Representations for Automated Story Generation with Deep Neural Nets. Proceedings of the 2018 Conference of the Association for the Advancement of Artificial Intelligence (AAAI), New Orleans, Louisiana, 2018.

Matthew Guzdial and Mark O. Riedl. Combinatorial Creativity for Procedural Content Generation via Machine Learning. Proceedings of the AAA 2018 Workshop on Knowledge Extraction in Games, New Orleans, Louisiana, 2018.

Matthew Guzdial and Mark O. Riedl. Automated Game Design via Conceptual Expansion. Proceedings of the 2018 AAAI Conference on AI and Interactive Digital Entertainment, Edmonton, Canada, 2018.

Zijin Luo, Matthew Guzdial, Nicholas Liao, and Mark Ried. Player Experience Extraction from Gameplay Video. Proceedings of the 2018 AAAI Conference on AI and Interactive Digital Entertainment, Edmonton, Canada, 2018.

Christopher Purdy, Xinyu Wang, Larry He, and Mark Riedl. Predicting Generated Story Quality with Quantitative Measures. Proceedings of the 2018 AAAI Conference on AI and Interactive Digital Entertainment, Edmonton, Canada, 2018.

Siddarth Srinivasan, Richa Arora, Mark Riedl. A Simple and Effective Approach to the Story Cloze Test. Proceedings of NAACL 2018, New Orleans, Louisiana, 2018.

Lara Martin, Srijan Sood, and Mark O. Riedl. Dungeons and DQNs: Toward Reinforcement Learning Agents that Play Tabletop Roleplaying Games. Proceedings of the 2018 AAAI WICED/INT workshop, Edmonton, Canada, 2018.

Prithviraj Ammanabrolu and Mark O. Riedl. Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning. Proceedings of the NeurIPS 2018 Workshop on WordPlay: Reinforcement and Language Learning in Text-based Games, Montreal, Canada, 2018.

Zhiyu Lin, Kyle Xiao, and Mark O. Riedl. GenerationMania: Learning to semantically choreograph.Proceedings of the 2018 AAAI Workshop on Experimental AI in Games, 2018.

2017

Lara J. Martin, Prithviraj Ammanabrolu, William Hancock, Shruti Singh, Brent Harrison, and Mark O. Riedl. Event Representations for Automated Story Generation with Deep Neural Nets. Proceedings of the KDD 2017 Workshop on Machine Learning for Creativity,Halifax, Nova Scotia, Canada, 2017.

Brent Harrison, Christopher Purdy, and Mark O. Riedl. Toward Automated Story Generation with Markov Chain Monte Carlo Methods and Deep Neural Networks. Proceedings of the 2017 Workshop on Intelligent Narrative Technologies, Salt Lake City, Utah, 2017.

Matthew Guzdial, Jonathan Chen, Shao-Yu Chen, and Mark O. Riedl. A General Level Design Editor for Co-creative Level Design. Proceedings of the 2017 AAAI Workshop on Experimental AI in Games, Salt Lake City, Utah, 2017.

Lara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang, Shruti Singh, Brent Harrison, Murtaza Dhuliawala, Pradyumna Tambwekar, Animesh Mehta, Richa Arora, Nathan Dass, Chris Purdy, and Mark O. Riedl. Improvisational Storytelling Agents. Proceedings of the NIPS 2017 Workshop on Machine Learning for Creativity and Design, Long Beach, California, 2017.

Matthew Guzdial and Mark O. Riedl. Combinatorial Meta Search. Proceedings of the NIPS 2017 Workshop on Machine Learning for Creativity and Design, Long Beach, California, 2017.

Brent Harrison, Upol Ehsan, and Mark O. Riedl. Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations. arXiv:1702.07826, 2017.

Nicholas Liao, Matthew Guzdial, and Mark O. Riedl. Deep Convolutional Player Modeling on Log and Level Data. Proceedings of the 2017 Conference on the Foundations of Digital Games, Cape Cod, Massachusetts, 2017.

2016

Mark O. Riedl. Computational Narrative Intelligence: A Human-Centered Goal for Artificial Intelligence. Proceedings of the CHI 2016 Workshop on Human Centered Machine Learning, San Jose, California, 2016.

Lara J. Martin and Mark O. Riedl. Improvisational Computational Storytelling in Open Worlds. Proceedings of the 2016 International Conference on Interactive Digital Entertainment, Los Angeles, California, 2016.

Sam Krening, Brent Harrison, Karen Feigh, Charles Isbell, Mark Riedl, and Andrea Thomaz. Learning from Explanations using Sentiment and Advice in RL. IEEE Transactions on Cognitive and Developmental Systems, 2016, forthcoming.

2015

Boyang Li. A Dynamic and Dual-Process Theory of Humor. Proceedings of the 3rd Annual Conference on Advances in Cognitive Systems, Atlanta, Georgia, 2015.

2014

Mark O. Riedl and R. Michael Young. The Importance of Narrative as an Affective Instructional Strategy. In R. Sottilare, A. Graesser, X. Hu, and B. Goldberg (Eds.) Design Recommendations for Adaptive Intelligent Tutoring Systems: Adaptive Instructional Strategies, volume 2. Army Science Laboratory, 2014.

2013

Alexander Zook and Mark O. Riedl. Game Conceptualization and Development Processes in the Global Game Jam. Proceedings of the FDG 2013 Workshop on the Global Game Jam, Chania, Crete, Greece, 2013.

Mark O. Riedl and Alexander Zook. AI for Game Production. Proceedings of the IEEE 2013 Conference on Computational Intelligence in Games, Niagra Falls, Canada, 2013.

Mark O. Riedl and Vadim Bulitko. Interactive Narrative: An Intelligent Systems Approach. AI Magazine, vol. 34(1), 2013.

2012

Mark O. Riedl. Interactive Narrative: A Novel Application of Artificial Intelligence for Computer Games. Proceedings of the 26th AAAI Conference on Artificial Intelligence, Toronto, Canada, 2012 (invited paper).

2011

Mark O. Riedl, David Thue, and Vadim Bulitko. Game AI as Storytelling. In Pedro Gonzales Calero (Ed.) Artificial Intelligence for Computer Games. Springer Verlag, 2011.

Brian O'Neill and Mark Riedl. Simulating the Everyday Creativity of Readers. Proceedings of the 2nd International Conference on Computational Creativity, Mexico City, Mexico, 2011.

Sanjeet Hajarnis, Christina Leber, Hua Ai, Mark O. Riedl, and Ashwin Ram. A Case Base Planning Approach for Dialogue Generation in Digital Movie Design. Proceedings of the 19th International Conference on Case Based Reasoning, London, UK, 2011.

Mark O. Riedl, Boyang Li, Hua Ai, and Ashwin Ram. Robust and Authorable Multiplayer Storytelling Experiences. Proceedings of the 7th Annual Conference on Artificial Intelligence and Interactive Digital Entertainment. Palo Alto, California, 2011.

Nicholas Davis, Pramod Gupta, Shruti Gupta, and Ellen Do. Computing Harmony With PerLogicArt: Perceptual Logic Inspired Collaborative Art. Proceedings of the 8th ACM Conference on Creativity and Cognition. Atlanta, Georgia, 2011.

Hong Yu and Tyler Trawick. Personalized Procedural Content Generation to Minimize Frustration & Boredom based on Ranking Algorithm. Proceedings of the 7th Annual Conference on Artificial Intelligence and Interactive Digital Entertainment, Palo Alto, California, 2011.

2010

Mark O. Riedl. A Comparison of Interactive Narrative System Approaches Using Human Improvisational Actors. Proceedings of the Third Workshop on Intelligent Narrative Technologies, Monterey, California, 2010.

Mark O. Riedl. Scalable Personalization of Interactive Experiences through Creative Automation. Computers in Entertainment, vol. 8(4), 2010.

2009

D. Scott Appling and Mark O. Riedl. Representations for Learning to Summarize Plots. Proceedings of the AAAI Spring Symposium on Intelligent Narrative Technologies II, Palo Alto, California, 2009.

2008

Mei Si, Stacy Marsella, and Mark O. Riedl. Interactive Drama Authoring with Plot and Character: An Intelligent System that Fosters Creativity. Proceedings of the AAAI Spring Symposium on Creative Intelligent Systems, Palo Alto, California, 2008.

Mei Si, Stacy Marsella, and Mark O. Riedl. Integrating Plot-Centric and Character-Centric Designs: An Mixed-Initiative Framework for Interactive Drama. Proceedings of the 4th Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), Palo Alto, California, 2008.

David Roberts, Charles Isbell, Mark O. Riedl, and Merrick Furst. On the use of Computational Models of Influence for Interactive Virtual Experience Management. Proceedings of the 1st Joint International Conference on Interactive Digital Storytelling (Formerly TIDSE and ICVS), Erfurt, Germany, 2008.

2007

David L. Roberts, Mark O. Riedl, and Charles L. Isbell. Opportunities for Machine Learning to Impact Interactive Narrative. Proceedings of the 21st Annual Conference on Neural Information Processing Systems, Workshop on Machine Learning and Games (MALAGA), Vancouver, Canada, 2007.

2003

Mark O. Riedl and Robert St. Amant. Social navigation: Modeling, simulation, and experimentation. Proceedings of the 2nd International Conference on Autonomous Agents and Multi-Agent
Systems
, Melbourne, Australia, 2003.

Mark O. Riedl and R. Michael Young. Character-Focused Narrative Planning for Execution in Virtual Worlds. Proceedings of the 2nd International Conference on Virtual Storytelling, Toulouse, France, 2003.

2002

Mark O. Riedl and Robert St. Amant. Towards automated exploration of interactive systems. Proceedings of the 7th International Conference on Intelligent User Interfaces, San Francisco, California, 2002.

David B. Christian, Mark O. Riedl, and R. Michael Young. Conversation Starters: Using Spatial Context to Initiate Dialogue in First Person Perspective Games. Proceedings of the 2002 AAAI Spring Symposium on Artificial Intelligence and Interactive Entertainment, Palo Alto, CA, 2002.

2001

Mark O. Riedl. A Computational Model and Classification Framework for Social Navigation. Proceedings of the 6th International Conference on Intelligent User Interfaces, Santa Fe, New Mexico, 2001.

Robert St. Amant, Christopher G. Healey, Mark O. Riedl, Sarat Kocherlakota, David A. Pegram, and Mika Torhola. Intelligent Visualization in a Planning Simulation. Proceedings of the 6th International Conference on Intelligent User Interfaces, Santa Fe, New Mexico, 2001.

2000

Robert St. Amant and Mark O. Riedl. A Perception/Action Substrate for Cognitive Modeling in HCI. International Journal of Human-Computer Studies, vol. 55(1), pp. 15–39, 2000.

1999

David A. Pegram, Robert St. Amant, and Mark O. Riedl. An Approach to Visual Interaction in Mixed-Initiative Planning. Proceedings of the 1999 AAAI Mixed-Initiative Intelligence Workshop, Orlando, Florida, 1999.