Intelligent visualization in a planning simulation. - Robert St. Amant; Christopher G. Healey; Mark O. Riedl; Sarat Kocherlakota; David A. Pegram; Mika Torhola (IUI, 2001)

A computational model and classification framework for social navigation. - Mark O. Riedl (IUI, 2001)

A perception/action substrate for cognitive modeling in HCI. - Robert St. Amant; Mark O. Riedl (Int. J. Hum. Comput. Stud., 2001)

Toward automated exploration of interactive systems. - Mark O. Riedl; Robert St. Amant (IUI, 2002)

Social navigation: modeling, simulation, and experimentation. - Mark O. Riedl; Robert St. Amant (AAMAS, 2003)

Managing interaction between users and agents in a multi-agent storytelling environment. - Mark O. Riedl; C. J. Saretto; Robert Michael Young (AAMAS, 2003)

Towards an architecture for intelligent control of narrative in interactive virtual worlds . - Robert Michael Young; Mark O. Riedl (IUI, 2003)

Character-Focused Narrative Generation for Execution in Virtual Worlds. - Mark O. Riedl; Robert Michael Young (International Conference on Virtual Storytelling, 2003)

An Intent-Driven Planner for Multi-Agent Story Generation. - Mark O. Riedl; Robert Michael Young (AAMAS, 2004)

An architecture for integrating plan-based behavior generation with interactive game environments. - R. Michael Young; Mark O. Riedl; Mark Branly; Arnav Jhala; R. J. Martin; C. J. Saretto (J. Game Dev., 2004)

Integrating plan-based behavior generation with game environments. - Robert Michael Young; Mark O. Riedl (Advances in Computer Entertainment Technology, 2005)

Increasing Replayability with Deliberative and Reactive Planning. - Michael van Lent; Mark O. Riedl; Paul Carpenter; Ryan McAlinden; Paul Brobst (AIIDE, 2005)

Open-World Planning for Story Generation. - Mark O. Riedl; Robert Michael Young (IJCAI, 2005)

An Objective Character Believability Evaluation Procedure for Multi-agent Story Generation Systems. - Mark O. Riedl; Robert Michael Young (IVA, 2005)

Mixing Story and Simulation in Interactive Narrative. - Mark O. Riedl; Andrew Stern; Don M. Dini (AIIDE, 2006)

Believable Agents and Intelligent Story Adaptation for Interactive Storytelling. - Mark O. Riedl; Andrew Stern (TIDSE, 2006)

Failing Believably: Toward Drama Management with Autonomous Actors in Interactive Narratives. - Mark O. Riedl; Andrew Stern (TIDSE, 2006)

From Linear Story Generation to Branching Story Graphs. - Mark O. Riedl; Robert Michael Young (IEEE Computer Graphics and Applications, 2006)

Story Planning as Exploratory Creativity: Techniques for Expanding the Narrative Search Space. - Mark O. Riedl; Robert Michael Young (New Gener. Comput., 2006)

Preface. - Brian S. Magerko; Mark O. Riedl (AAAI Fall Symposium: Intelligent Narrative Technologies, 2007)

Narrative Learning Environments. - Mark O. Riedl; Isabel Machado Alexandre 001; Brian Magerko; Ana Paiva 001; H. Chad Lane (AIED, 2007)

A Lightweight Intelligent Virtual Cinematography System for Machinima Production. - David K. Elson; Mark O. Riedl (AIIDE, 2007)

Interactive Drama Authoring with Plot and Character: An Intelligent System that Fosters Creativity. - Mei Si; Stacy C. Marsella; Mark O. Riedl (AAAI Spring Symposium: Creative Intelligent Systems, 2008)

Integrating Story-Centric and Character-Centric Processes for Authoring Interactive Drama. - Mei Si; Stacy C. Marsella; Mark O. Riedl (AIIDE, 2008)

Story Planning with Vignettes: Toward Overcoming the Content Production Bottleneck. - Mark O. Riedl; Neha Sugandh (ICIDS, 2008)

On the Use of Computational Models of Influence for Managing Interactive Virtual Experiences. - David L. Roberts 001; Charles Lee Isbell Jr.; Mark O. Riedl; Ian Bogost; Merrick L. Furst (ICIDS, 2008)

Toward intelligent support of authoring machinima media content: story and visualization. - Mark O. Riedl; Jonathan P. Rowe; David K. Elson (INTETAIN, 2008)

AAAI Fall Symposium Reports. - Jerry T. Ball; Chris Arney; Samuel G. Collins; Mitchell Marcus; Sergei Nirenburg; Antonio Chella; Kai Goebel; Jason H. Li; Margaret Lyell; Brian Magerko; Riccardo Manzotti; Clayton T. Morrison; et al. (AI Mag., 2008)

Graphical Social Scenarios: Toward Intervention and Authoring for Adolescents with High Functioning Autism. - Mark O. Riedl; Rosa I. Arriaga; Fatima A. Boujarwah; Hwajung Hong; Jackie Isbell; Juane Heflin (AAAI Fall Symposium: Virtual Healthcare Interaction, 2009)

Representations for Learning to Summarize Plots. - D. Scott Appling; Mark O. Riedl (AAAI Spring Symposium: Intelligent Narrative Technologies II, 2009)

Incorporating Authorial Intent into Generative Narrative Systems. - Mark O. Riedl (AAAI Spring Symposium: Intelligent Narrative Technologies II, 2009)

Toward Scenario Adaptation for Learning. - James Michael Niehaus; Mark O. Riedl (AIED, 2009)

Generating Story Analogues. - Mark O. Riedl; Carlos León (AIIDE, 2009)

An empirical study of cognition and theatrical improvisation. - Brian Magerko; Waleed Manzoul; Mark O. Riedl; Allan Baumer; Daniel Fuller; Kurt Luther; Celia Pearce (Creativity & Cognition, 2009)

Supporting human creative story authoring with asynthetic audience. - Brian O'Neill; Mark O. Riedl (Creativity & Cognition, 2009)

Towards intelligent authoring tools for machinima creation. - Brian O'Neill; Mark O. Riedl; Michael Nitsche (CHI Extended Abstracts, 2009)

Beyond Adversarial: The Case for Game AI as Storytelling. - David L. Roberts 001; Mark O. Riedl; Charles L. Isbell Jr. (DiGRA Conference, 2009)

A Computational Model of Emotional Response to Stories. - Adam Fitzgerald; Gurlal Kahlon; Mark O. Riedl (ICIDS, 2009)

Creating Customized Game Experiences by Leveraging Human Creative Effort: A Planning Approach. - Boyang Li 001; Mark O. Riedl (AGS, 2010)

WeQuest: A Mobile Alternate Reality Gaming Platform and Intelligent End-User Authoring Tool. - Chinmay Barve; Sanjeet Hajarnis; Devika Karnik; Mark O. Riedl (AIIDE, 2010)

An Offline Planning Approach to Game Plotline Adaptation. - Boyang Li 001; Mark O. Riedl (AIIDE, 2010)

A comparison of interactive narrative system approaches using human improvisational actors. - Mark O. Riedl (FDG, 2010)

Reports of the AAAI 2010 Conference Workshops. - David W. Aha; Mark S. Boddy; Vadim Bulitko; Artur S. d'Avila Garcez; Prashant Doshi; Stefan Edelkamp; Christopher W. Geib; Piotr J. Gmytrasiewicz; Robert P. Goldman; Pascal Hitzler; Charles L. Isbell Jr.; Darsana P. Josyula; et al. (AI Mag., 2010)

Scalable personalization of interactive experiences through creative automation. - Mark O. Riedl (Comput. Entertain., 2010)

Narrative Planning: Balancing Plot and Character. - Mark O. Riedl; Robert Michael Young (J. Artif. Intell. Res., 2010)

Story Planning: Creativity Through Exploration, Retrieval, and Analogical Transformation. - Mark O. Riedl (Minds Mach., 2010)

WeQuest: scalable alternate reality games through end-user content authoring. - Andrew Peter Macvean; Sanjeet Hajarnis; Brandon Headrick; Aziel Ferguson; Chinmay Barve; Devika Karnik; Mark O. Riedl (Advances in Computer Entertainment Technology, 2011)

Toward a Computational Framework of Suspense and Dramatic Arc. - Brian O'Neill; Mark O. Riedl (ACII (1), 2011)

A Phone That Cures Your Flu: Generating Imaginary Gadgets in Fictions with Planning and Analogies. - Boyang Li 001; Mark O. Riedl (Intelligent Narrative Technologies, 2011)

Robust and Authorable Multiplayer Storytelling Experiences. - Mark O. Riedl; Boyang Li 001; Hua Ai; Ashwin Ram 001 (AIIDE, 2011)

Distributed creative cognition in digital filmmaking. - Nicholas M. Davis; Boyang Li 001; Brian O'Neill; Mark O. Riedl; Michael Nitsche (Creativity & Cognition, 2011)

Creative gadget design in fictions: generalized planning in analogical spaces. - Boyang Li 001; Mark O. Riedl (Creativity & Cognition, 2011)

Formally modeling pretend object play. - Alexander Zook; Brian Magerko; Mark O. Riedl (Creativity & Cognition, 2011)

Toward supporting stories with procedurally generated game worlds. - Ken Hartsook; Alexander Zook; Sauvik Das; Mark O. Riedl (CIG, 2011)

An enjoyment metric for the evaluation of alternate reality games. - Andrew Peter Macvean; Mark O. Riedl (FDG, 2011)

Supporting End-User Authoring of Alternate Reality Games with Cross-Location Compatibility. - Sanjeet Hajarnis; Chinmay Barve; Devika Karnik; Mark O. Riedl (FLAIRS, 2011)

Automated Scenario Adaptation in Support of Intelligent Tutoring Systems. - James Michael Niehaus; Boyang Li 001; Mark O. Riedl (FLAIRS, 2011)

A Case Base Planning Approach for Dialogue Generation in Digital Movie Design. - Sanjeet Hajarnis; Christina Leber; Hua Ai; Mark O. Riedl; Ashwin Ram 001 (ICCBR, 2011)

Simulating the Everyday Creativity of Readers. - Brian O'Neill; Mark O. Riedl (ICCC, 2011)

Understanding Human Creativity for Computational Play. - Alexander Zook; Mark O. Riedl; Brian Magerko (ICCC, 2011)

Scaling Mobile Alternate Reality Games with Geo-location Translation. - Sanjeet Hajarnis; Brandon Headrick; Aziel Ferguson; Mark O. Riedl (ICIDS, 2011)

Evaluating enjoyment within alternate reality games. - Andrew Peter Macvean; Mark O. Riedl (SIGGRAPH Game Papers, 2011)

REACT: intelligent authoring of social skills instructional modules for adolescents with high-functioning Autism. - Fatima A. Boujarwah; Mark O. Riedl; Gregory D. Abowd; Rosa I. Arriaga (ACM SIGACCESS Access. Comput., 2011)

Interactive Narrative: A Novel Application of Artificial Intelligence for Computer Games. - Mark O. Riedl; Vadim Bulitko (AAAI, 2012)

A sequential recommendation approach for interactive personalized story generation. - Hong Yu 010; Mark O. Riedl (AAMAS, 2012)

Preface. - Mark O. Riedl; Gita Sukthankar (AIIDE, 2012)

A Temporal Data-Driven Player Model for Dynamic Difficulty Adjustment. - Alexander Zook; Mark O. Riedl (AIIDE, 2012)

Skill-based Mission Generation: A Data-driven Temporal Player Modeling Approach. - Alexander Zook; Stephen Lee-Urban; Michael R. Drinkwater; Mark O. Riedl (PCG@FDG, 2012)

Automated scenario generation: toward tailored and optimized military training in virtual environments. - Alexander Zook; Stephen Lee-Urban; Mark O. Riedl; Heather K. Holden; Robert A. Sottilare; Keith W. Brawner (FDG, 2012)

Learning Sociocultural Knowledge via Crowdsourced Examples. - Boyang Li 001; Darren Scott Appling; Stephen Lee-Urban; Mark O. Riedl (HCOMP@AAAI, 2012)

Goal-Driven Conceptual Blending: A Computational Approach for Creativity. - Boyang Li 001; Alexander Zook; Nicholas M. Davis; Mark O. Riedl (ICCC, 2012)

Toward Autonomous Crowd-Powered Creation of Interactive Narratives. - Boyang Li 001; Stephen Lee-Urban; Mark O. Riedl (INT@AIIDE, 2012)

Recap of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE). - Vadim Bulitko; Mark O. Riedl; Arnav Jhala; Michael Buro; Nathan R. Sturtevant (AI Mag., 2012)

Story Generation with Crowdsourced Plot Graphs. - Boyang Li 001; Stephen Lee-Urban; George Johnston; Mark O. Riedl (AAAI, 2013)

Data-Driven Personalized Drama Management. - Hong Yu 010; Mark Owen Riedl (AIIDE, 2013)

Creativity support for novice digital filmmaking. - Nicholas M. Davis; Alexander Zook; Brian O'Neill; Brandon Headrick; Mark O. Riedl; Ashton Grosz; Michael Nitsche (CHI, 2013)

AI for game production. - Mark O. Riedl; Alexander Zook (CIG, 2013)

Crowdsourcing interactive fiction games. - Boyang Li 001; Stephen Lee-Urban; Mark O. Riedl (FDG, 2013)

Toward personalized guidance in interactive narratives. - Hong Yu 010; Mark O. Riedl (FDG, 2013)

Interactive Narrative: An Intelligent Systems Approach. - Mark O. Riedl; Vadim Bulitko (AI Mag., 2013)

The Eighth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. - Mark O. Riedl; Gita Reese Sukthankar; Arnav Jhala; Jichen Zhu; Santi Ontañón Villar; Michael Buro; David Churchill (AI Mag., 2013)

Dramatis: A Computational Model of Suspense. - Brian O'Neill; Mark O. Riedl (AAAI, 2014)

Automatic Game Design via Mechanic Generation. - Alexander Zook; Mark O. Riedl (AAAI, 2014)

Applying Qualitative Research Methods to Narrative Knowledge Engineering. - Brian O'Neill; Mark O. Riedl (CMN, 2014)

Collaboration versus competition: Design and evaluation of mechanics for games with a purpose. - Kristin Siu; Alexander Zook; Mark O. Riedl (FDG, 2014)

Automatic playtesting for game parameter tuning via active learning. - Alexander Zook; Eric Fruchter; Mark O. Riedl (FDG, 2014)

Persistent and Pervasive Real-World Sensing Using Games. - Spencer Frazier; Mark O. Riedl (HCOMP, 2014)

Storytelling with Adjustable Narrator Styles and Sentiments. - Boyang Li 001; Mohini Thakkar; Yijie Wang; Mark O. Riedl (ICIDS, 2014)

From Data to Storytelling Agents. - Boyang Li 001; Mohini Thakkar; Yijie Wang; Mark O. Riedl (IVA, 2014)

The Lovelace 2.0 Test of Artificial Creativity and Intelligence. - Mark O. Riedl (CoRR, 2014)

Personalized Interactive Narratives via Sequential Recommendation of Plot Points. - Hong Yu 010; Mark O. Riedl (IEEE Trans. Comput. Intell. AI Games, 2014)

Scheherazade: Crowd-Powered Interactive Narrative Generation. - Boyang Li 001; Mark O. Riedl (AAAI, 2015)

Optimizing Players' Expected Enjoyment in Interactive Stories. - Hong Yu 010; Mark O. Riedl (AIIDE, 2015)

Examining Game World Topology Personalization. - Sauvik Das; Alexander Zook; Mark O. Riedl (CHI, 2015)

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

Monte-Carlo Tree Search for Simulation-based Play Strategy Analysis. - Alexander Zook; Brent Harrison; Mark O. Riedl (FDG, 2015)

The Visual Design and Implementation of an Embodied Conversational Agent in a Shared Decision-Making Context (eCoach). - Scott L. Robertson; Rob Solomon; Mark O. Riedl; Theresa Wicklin Gillespie; Toni Chociemski; Viraj Master; Arun Mohan 002 (HCI (24), 2015)

A Python Engine for Teaching Artificial Intelligence in Games. - Mark O. Riedl (CoRR, 2015)

Temporal Game Challenge Tailoring. - Alexander Zook; Mark O. Riedl (IEEE Trans. Comput. Intell. AI Games, 2015)

Towards Learning From Stories: An Approach to Interactive Machine Learning. - Brent Harrison; Mark O. Riedl (AAAI Workshop: Symbiotic Cognitive Systems, 2016)

Using Stories to Teach Human Values to Artificial Agents. - Mark O. Riedl; Brent Harrison (AAAI Workshop: AI, Ethics, and Society, 2016)

Procedural Level Generation for Augmented Reality Games. - Sasha Azad; Carl Saldanha; Cheng-Hann Gan; Mark O. Riedl (AIIDE, 2016)

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

Learning From Stories: Using Crowdsourced Narratives to Train Virtual Agents. - Brent Harrison; 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)

Reward Systems in Human Computation Games. - Kristin Siu; Mark O. Riedl (CHI PLAY, 2016)

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

Improvisational Computational Storytelling in Open Worlds. - Lara J. Martin; Brent Harrison; Mark O. Riedl (ICIDS, 2016)

Reading Between the Lines: Using Plot Graphs to Draw Inferences from Stories. - Christopher Purdy; Mark O. Riedl (ICIDS, 2016)

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

Computational Narrative Intelligence: A Human-Centered Goal for Artificial Intelligence. - 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)

Toward Automated Story Generation with Markov Chain Monte Carlo Methods and Deep Neural Networks. - Brent Harrison; Christopher Purdy; 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)

A framework for exploring and evaluating mechanics in human computation games. - Kristin Siu; Alexander Zook; Mark O. Riedl (FDG, 2017)

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

Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations. - Brent Harrison; Upol Ehsan; Mark O. Riedl (CoRR, 2017)

Event Representations for Automated Story Generation with Deep Neural Nets. - Lara J. Martin; Prithviraj Ammanabrolu; William Hancock; Shruti Singh; Brent Harrison; Mark O. Riedl (CoRR, 2017)

Enter the Matrix: A Virtual World Approach to Safely Interruptable Autonomous Systems. - Mark O. Riedl; Brent Harrison (CoRR, 2017)

Explore, Exploit or Listen: Combining Human Feedback and Policy Model to Speed up Deep Reinforcement Learning in 3D Worlds. - Zhiyu Lin; Brent Harrison; Aaron Keech; Mark O. Riedl (CoRR, 2017)

Learning From Explanations Using Sentiment and Advice in RL. - Samantha Krening; Brent Harrison; Karen M. Feigh; Charles Lee Isbell Jr.; Mark O. Riedl; Andrea Thomaz (IEEE Trans. Cogn. Dev. Syst., 2017)

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

Event Representations for Automated Story Generation with Deep Neural Nets. - Lara J. Martin; Prithviraj Ammanabrolu; Xinyu Wang; William Hancock; Shruti Singh; Brent Harrison; Mark O. Riedl (AAAI, 2018)

Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations. - Upol Ehsan; Brent Harrison; Larry Chan; Mark O. Riedl (AIES, 2018)

Learning to Generate Natural Language Rationales for Game Playing Agents. - Upol Ehsan; Pradyumna Tambwekar; Larry Chan; Brent Harrison; Mark O. Riedl (AIIDE 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)

Dungeons and DQNs: Toward Reinforcement Learning Agents that Play Tabletop Roleplaying Games. - Lara J. Martin; Srijan Sood; Mark O. Riedl (INT/WICED@AIIDE, 2018)

Predicting Generated Story Quality with Quantitative Measures. - Christopher Purdy; Xinyu Wang; Larry He; Mark O. Riedl (AIIDE, 2018)

Guiding Reinforcement Learning Exploration Using Natural Language. - Brent Harrison; Upol Ehsan; Mark O. Riedl (AAMAS, 2018)

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

A Simple and Effective Approach to the Story Cloze Test. - Siddarth Srinivasan; Richa Arora; Mark O. Riedl (NAACL-HLT (2), 2018)

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

Controllable Neural Story Generation via Reinforcement Learning. - Pradyumna Tambwekar; Murtaza Dhuliawala; Animesh Mehta; Lara J. Martin; Brent Harrison; Mark O. Riedl (CoRR, 2018)

GenerationMania: Learning to Semantically Choreograph. - Zhiyu Lin; Mark O. Riedl; Kyle Xiao (KEG@AAAI, 2019)

Enter the Matrix: Safely Interruptible Autonomous Systems via Virtualization. - Mark O. Riedl; Brent Harrison (SafeAI@AAAI, 2019)

Improving Deep Reinforcement Learning in Minecraft with Action Advice. - Spencer Frazier; Mark O. Riedl (AIIDE, 2019)

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)

Controllable Neural Story Plot Generation via Reward Shaping. - Pradyumna Tambwekar; Murtaza Dhuliawala; Lara J. Martin; Animesh Mehta; Brent Harrison; Mark O. Riedl (IJCAI, 2019)

Automated rationale generation: a technique for explainable AI and its effects on human perceptions. - Upol Ehsan; Pradyumna Tambwekar; Larry Chan; Brent Harrison; Mark O. Riedl (IUI, 2019)

Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning. - Prithviraj Ammanabrolu; Mark O. Riedl (NAACL-HLT (1), 2019)

Transfer in Deep Reinforcement Learning Using Knowledge Graphs. - Prithviraj Ammanabrolu; Mark O. Riedl (TextGraphs@EMNLP, 2019)

Human-Centered Artificial Intelligence and Machine Learning. - Mark O. Riedl (CoRR, 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)

Monte-Carlo Tree Search for Simulation-based Strategy Analysis. - Alexander Zook; Brent Harrison; 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)

Learning How Design Choices Impact Gameplay Behavior. - Alexander Zook; Mark O. Riedl (IEEE Trans. Games, 2019)

Story Realization: Expanding Plot Events into Sentences. - Prithviraj Ammanabrolu; Ethan Tien; Wesley Cheung; Zhaochen Luo; William Ma; Lara J. Martin; Mark O. Riedl (AAAI, 2020)

Learning Norms from Stories: A Prior for Value Aligned Agents. - Md Sultan Al Nahian; Spencer Frazier; Mark O. Riedl; Brent Harrison (AIES, 2020)

Bringing Stories Alive: Generating Interactive Fiction Worlds. - Prithviraj Ammanabrolu; Wesley Cheung; Dan Tu; William Broniec; Mark O. Riedl (AIIDE, 2020)

Human-Centered Explainable AI: Towards a Reflective Sociotechnical Approach. - Upol Ehsan; Mark O. Riedl (HCI (42), 2020)

Toward Automated Quest Generation in Text-Adventure Games. - Prithviraj Ammanabrolu; William Broniec; Alex Mueller; Jeremy Paul; Mark O. Riedl (ICCC, 2020)

Reducing Non-Normative Text Generation from Language Models. - Xiangyu Peng; Siyan Li; Spencer Frazier; Mark O. Riedl (INLG, 2020)

Fine-Tuning a Transformer-Based Language Model to Avoid Generating Non-Normative Text. - Xiangyu Peng; Siyan Li; Spencer Frazier; Mark O. Riedl (CoRR, 2020)

How To Avoid Being Eaten By a Grue: Exploration Strategies for Text-Adventure Agents. - Prithviraj Ammanabrolu; Ethan Tien; Zhaochen Luo; Mark O. Riedl (CoRR, 2020)

How to Avoid Being Eaten by a Grue: Structured Exploration Strategies for Textual Worlds. - Prithviraj Ammanabrolu; Ethan Tien; Matthew J. Hausknecht; Mark O. Riedl (CoRR, 2020)

The Transformation of Patient-Clinician Relationships With AI-Based Medical Advice: A "Bring Your Own Algorithm" Era in Healthcare. - Oded Nov; Yindalon Aphinyanaphongs; Yvonne W. Lui; Devin M. Mann; Maurizio Porfiri; Mark O. Riedl; John-Ross Rizzo; Batia Mishan Wiesenfeld (CoRR, 2020)

Weird AI Yankovic: Generating Parody Lyrics. - Mark O. Riedl (CoRR, 2020)

Playing Text-Based Games with Common Sense. - Sahith N. Dambekodi; Spencer Frazier; Prithviraj Ammanabrolu; Mark O. Riedl (CoRR, 2020)

Automated Storytelling via Causal, Commonsense Plot Ordering. - Prithviraj Ammanabrolu; Wesley Cheung; William Broniec; Mark O. Riedl (AAAI, 2021)

Plug-and-Blend: A Framework for Plug-and-Play Controllable Story Generation with Sketches. - Zhiyu Lin; Mark O. Riedl (AIIDE, 2021)

Expanding Explainability: Towards Social Transparency in AI systems. - Upol Ehsan; Q. Vera Liao; Michael J. Muller; Mark O. Riedl; Justin D. Weisz (CHI, 2021)

Operationalizing Human-Centered Perspectives in Explainable AI. - Upol Ehsan; Philipp Wintersberger; Q. Vera Liao; Martina Mara; Marc Streit; Sandra Wachter; Andreas Riener; Mark O. Riedl (CHI Extended Abstracts, 2021)

Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts. - Ashutosh Baheti; Maarten Sap; Alan Ritter; Mark O. Riedl (EMNLP (1), 2021)

Effect of Interaction Design of Reinforcement Learning Agents on Human Satisfaction in Partially Observable Domains. - Divya K. Srivastava; Spencer Frazier; Mark O. Riedl; Karen M. Feigh (VISIGRAPP (2: HUCAPP), 2021)

Learning Knowledge Graph-based World Models of Textual Environments. - Prithviraj Ammanabrolu; Mark O. Riedl (NeurIPS, 2021)

Modeling Worlds in Text. - Prithviraj Ammanabrolu; Mark O. Riedl (NeurIPS Datasets and Benchmarks, 2021)

Telling Stories through Multi-User Dialogue by Modeling Character Relations. - Wai Man Si; Prithviraj Ammanabrolu; Mark O. Riedl (SIGDIAL, 2021)

The transformation of patient-clinician relationships with AI-based medical advice. - Oded Nov; Yindalon Aphinyanaphongs; Yvonne W. Lui; Devin M. Mann; Maurizio Porfiri; Mark O. Riedl; John-Ross Rizzo; Batia Mishan Wiesenfeld (Commun. ACM, 2021)

Plug-and-Blend: A Framework for Controllable Story Generation with Blended Control Codes. - Zhiyu Lin; Mark O. Riedl (CoRR, 2021)

Fabula Entropy Indexing: Objective Measures of Story Coherence. - Louis Castricato; Spencer Frazier; Jonathan C. Balloch; Mark O. Riedl (CoRR, 2021)

LEx: A Framework for Operationalising Layers of Machine Learning Explanations. - Ronal Singh; Upol Ehsan; Marc Cheong; Mark O. Riedl; Tim Miller 001 (CoRR, 2021)

Detecting and Adapting to Novelty in Games. - Xiangyu Peng; Jonathan C. Balloch; Mark O. Riedl (CoRR, 2021)

The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations. - Upol Ehsan; Samir Passi; Q. Vera Liao; Larry Chan; I-Hsiang Lee; Michael J. Muller; Mark O. Riedl (CoRR, 2021)

Automated Story Generation as Question-Answering. - Louis Castricato; Spencer Frazier; Jonathan C. Balloch; Nitya Tarakad; Mark O. Riedl (CoRR, 2021)

Goal-Directed Story Generation: Augmenting Generative Language Models with Reinforcement Learning. - Amal Alabdulkarim; Winston Li; Lara J. Martin; Mark O. Riedl (CoRR, 2021)

Situated language learning via interactive narratives. - Prithviraj Ammanabrolu; Mark O. Riedl (Patterns, 2021)

Situated Dialogue Learning through Procedural Environment Generation. - Prithviraj Ammanabrolu; Renee Jia; Mark O. Riedl (ACL (1), 2022)

Creative Wand: A System to Study Effects of Communications in Co-creative Settings. - Zhiyu Lin; Rohan Agarwal; Mark O. Riedl (AIIDE, 2022)

Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI. - Upol Ehsan; Philipp Wintersberger; Q. Vera Liao; Elizabeth Anne Watkins; Carina Manger; Hal Daumé III; Andreas Riener; Mark O. Riedl (CHI Extended Abstracts, 2022)

Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning. - Xiangyu Peng; Siyan Li; Sarah Wiegreffe; Mark O. Riedl (EMNLP (Findings), 2022)

Guiding Neural Story Generation with Reader Models. - Xiangyu Peng; Kaige Xie; Amal Alabdulkarim; Harshith Kayam; Samihan Dani; Mark O. Riedl (EMNLP (Findings), 2022)

Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes. - Kaige Xie; Sarah Wiegreffe; Mark O. Riedl (EMNLP (Findings), 2022)

The Algorithmic Imprint. - Upol Ehsan; Ranjit Singh 001; Jacob Metcalf; Mark O. Riedl (FAccT, 2022)

Reframing Human-AI Collaboration for Generating Free-Text Explanations. - Sarah Wiegreffe; Jack Hessel; Swabha Swayamdipta; Mark O. Riedl; Yejin Choi 001 (NAACL-HLT, 2022)

Inherently Explainable Reinforcement Learning in Natural Language. - Xiangyu Peng; Mark O. Riedl; Prithviraj Ammanabrolu (NeurIPS, 2022)

NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty. - Jonathan C. Balloch; Zhiyu Lin; Mustafa Hussain; Aarun Srinivas; Robert Wright; Xiangyu Peng; Julia M. Kim; Mark O. Riedl (CoRR, 2022)

Experiential Explanations for Reinforcement Learning. - Amal Alabdulkarim; Mark O. Riedl (CoRR, 2022)

The Role of Exploration for Task Transfer in Reinforcement Learning. - Jonathan C. Balloch; Julia M. Kim; Jessica L. Inman; Mark O. Riedl (CoRR, 2022)

Robust Preference Learning for Storytelling via Contrastive Reinforcement Learning. - Louis Castricato; Alexander Havrilla; Shahbuland Matiana; Michael Pieler; Anbang Ye; Ian Yang; Spencer Frazier; Mark O. Riedl (CoRR, 2022)

Machine Learning Approaches for Principle Prediction in Naturally Occurring Stories. - Md Sultan Al Nahian; Spencer Frazier; Brent Harrison; Mark O. Riedl (CoRR, 2022)

Neural Story Planning. - Anbang Ye; Christopher Cui; Taiwei Shi; Mark O. Riedl (CoRR, 2022)

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

Story Shaping: Teaching Agents Human-Like Behavior with Stories. - Xiangyu Peng; Christopher Cui; Wei Zhou; Renee Jia; Mark O. Riedl (AIIDE, 2023)

Neuro-Symbolic World Models for Adapting to Open World Novelty. - Jonathan C. Balloch; Zhiyu Lin; Xiangyu Peng; Mustafa Hussain; Aarun Srinivas; Robert Wright; Julia M. Kim; Mark O. Riedl (AAMAS, 2023)

Human-Centered Explainable AI (HCXAI): Coming of Age. - Upol Ehsan; Philipp Wintersberger; Elizabeth Anne Watkins; Carina Manger; Gonzalo A. Ramos; Justin D. Weisz; Hal Daumé III; Andreas Riener; Mark O. Riedl (CHI Extended Abstracts, 2023)

Thespian: Multi-Character Text Role-Playing Game Agents. - Christopher Cui; Xiangyu Peng; Mark O. Riedl (EXAG@AIIDE, 2023)

Dialogue Shaping: Empowering Agents through NPC Interaction. - Wei Zhou; Xiangyu Peng; Mark O. Riedl (EXAG@AIIDE, 2023)

Beyond Prompts: Exploring the Design Space of Mixed-Initiative Co-Creativity Systems. - Zhiyu Lin; Upol Ehsan; Rohan Agarwal; Samihan Dani; Vidushi Vashishth; Mark O. Riedl (ICCC, 2023)

Why Don't You Do Something About It? Outlining Connections between AI Explanations and User Actions. - Gennie Mansi; Mark O. Riedl (CoRR, 2023)

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer. - Kaige Xie; Tong Yu 001; Haoliang Wang; Junda Wu; Handong Zhao; Ruiyi Zhang 002; Kanak Mahadik; Ani Nenkova; Mark O. Riedl (CoRR, 2023)

Improving Language Models with Advantage-based Offline Policy Gradients. - Ashutosh Baheti; Ximing Lu; Faeze Brahman; Ronan Le Bras 001; Maarten Sap; Mark O. Riedl (CoRR, 2023)

Ambient Adventures: Teaching ChatGPT on Developing Complex Stories. - Zexin Chen; Eric Zhou; Kenneth Eaton; Xiangyu Peng; Mark O. Riedl (CoRR, 2023)

A Controllable Co-Creative Agent for Game System Design. - Rohan Agarwal; Zhiyu Lin; Mark O. Riedl (CoRR, 2023)

An Ontology of Co-Creative AI Systems. - Zhiyu Lin; Mark O. Riedl (CoRR, 2023)

A Simple Way to Incorporate Novelty Detection in World Models. - Geigh Zollicoffer; Kenneth Eaton; Jonathan C. Balloch; Julia M. Kim; Mark O. Riedl; Robert Wright (CoRR, 2023)

Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI. - Upol Ehsan; Koustuv Saha; Munmun De Choudhury; Mark O. Riedl (Proc. ACM Hum. Comput. Interact., 2023)

The Who in XAI: How AI Background Shapes Perceptions of AI Explanations. - Upol Ehsan; Samir Passi; Q. Vera Liao; Larry Chan; I-Hsiang Lee; Michael J. Muller; Mark O. Riedl (CHI, 2024)

Human-Centered Explainable AI (HCXAI): Reloading Explainability in the Era of Large Language Models (LLMs). - Upol Ehsan; Elizabeth Anne Watkins; Philipp Wintersberger; Carina Manger; Sunnie S. Y. Kim; Niels van Berkel; Andreas Riener; Mark O. Riedl (CHI Extended Abstracts, 2024)

Creating Suspenseful Stories: Iterative Planning with Large Language Models. - Kaige Xie; Mark O. Riedl (EACL (1), 2024)

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning. - Kaige Xie; Tong Yu 001; Haoliang Wang; Junda Wu; Handong Zhao; Ruiyi Zhang 002; Kanak Mahadik; Ani Nenkova; Mark O. Riedl (EACL (1), 2024)

Beyond Following: Mixing Active Initiative into Computational Creativity. - Zhiyu Lin; Upol Ehsan; Rohan Agarwal; Samihan Dani; Vidushi Vashishth; Mark O. Riedl (EXAG@AIIDE, 2024)

Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models. - Ashutosh Baheti; Ximing Lu; Faeze Brahman; Ronan Le Bras 001; Maarten Sap; Mark O. Riedl (ICLR, 2024)

The Goofus & Gallant Story Corpus for Practical Value Alignment. - Md Sultan Al Nahian; Tasmia Tasrin; Spencer Frazier; Mark O. Riedl; Brent Harrison (ICMLA, 2024)

Between Copyright and Computer Science: The Law and Ethics of Generative AI. - Deven R. Desai; Mark O. Riedl (CoRR, 2024)

Is Exploration All You Need? Effective Exploration Characteristics for Transfer in Reinforcement Learning. - Jonathan C. Balloch; Rishav Bhagat; Geigh Zollicoffer; Ruoran Jia; Julia M. Kim; Mark O. Riedl (CoRR, 2024)

A Mixture-of-Experts Approach to Few-Shot Task Transfer in Open-Ended Text Worlds. - Christopher Cui; Xiangyu Peng; Mark O. Riedl (CoRR, 2024)

External Model Motivated Agents: Reinforcement Learning for Enhanced Environment Sampling. - Rishav Bhagat; Jonathan Balloch; Zhiyu Lin; Julia Kim; Mark O. Riedl (CoRR, 2024)

The Interpretability of Codebooks in Model-Based Reinforcement Learning is Limited. - Kenneth Eaton; Jonathan Balloch; Julia M. Kim; Mark O. Riedl (CoRR, 2024)

Explainable AI Reloaded: Challenging the XAI Status Quo in the Era of Large Language Models. - Upol Ehsan; Mark O. Riedl (CoRR, 2024)

Recognizing Lawyers as AI Creators and Intermediaries in Contestability. - Gennie Mansi; Mark O. Riedl (CoRR, 2024)

Seamful XAI: Operationalizing Seamful Design in Explainable AI. - Upol Ehsan; Q. Vera Liao; Samir Passi; Mark O. Riedl; Hal Daumé III (Proc. ACM Hum. Comput. Interact., 2024)

Social construction of XAI: Do we need one definition to rule them all? - Upol Ehsan; Mark O. Riedl (Patterns, 2024)

Explainability pitfalls: Beyond dark patterns in explainable AI. - Upol Ehsan; Mark O. Riedl (Patterns, 2024)

Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior. - Md Sultan Al Nahian; Spencer Frazier; Mark O. Riedl; Brent Harrison (IEEE Trans. Artif. Intell., 2024)

Making Large Language Models into World Models with Precondition and Effect Knowledge. - Kaige Xie; Ian Yang; John Gunerli; Mark O. Riedl (COLING, 2025)

Multi-Attribute Constraint Satisfaction via Language Model Rewriting. - Ashutosh Baheti; Debanjana Chakraborty; Faeze Brahman; Ronan Le Bras 001; Ximing Lu; Nouha Dziri; Yejin Choi 001; Mark O. Riedl; Maarten Sap (Trans. Mach. Learn. Res., 2025)

Responsible AI Agents. - Deven R. Desai; Mark O. Riedl (CoRR, 2025)

Legally-Informed Explainable AI. - Gennie Mansi; Naveena Karusala; Mark O. Riedl (CoRR, 2025)

STORY2GAME: Generating (Almost) Everything in an Interactive Fiction Game. - Eric Zhou; Shreyas Basavatia; Moontashir Siam; Zexin Chen; Mark O. Riedl (CoRR, 2025)

Explainable Reinforcement Learning Agents Using World Models. - Madhuri Singh; Amal Alabdulkarim; Gennie Mansi; Mark O. Riedl (CoRR, 2025)

Implications of Current Litigation on the Design of AI Systems for Healthcare Delivery. - Gennie Mansi; Mark O. Riedl (CoRR, 2025)

Understanding the Impact of Physicians' Legal Considerations on XAI Systems. - Gennie Mansi; Mark O. Riedl (CoRR, 2025)

AI Agents and the Law. - Mark O. Riedl; Deven R. Desai (CoRR, 2025)

Experiential Explanations for Reinforcement Learning. - Amal Alabdulkarim; Madhuri Singh; Gennie Mansi; Kaely Hall; Upol Ehsan; Mark O. Riedl (Neural Comput. Appl., 2025)