Mark O. Riedl

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 126

Top Venues

Publications

Kaige Xie, Mark O. Riedl
Creating Suspenseful Stories: Iterative Planning with Large Language Models. EACL (1) (2024)
Kaige Xie, Mark O. Riedl
Creating Suspenseful Stories: Iterative Planning with Large Language Models. CoRR (2024)
Upol Ehsan, Elizabeth Anne Watkins, Philipp Wintersberger, Carina Manger, Sunnie S. Y. Kim, Niels van Berkel, Andreas Riener, Mark O. Riedl
Human-Centered Explainable AI (HCXAI): Reloading Explainability in the Era of Large Language Models (LLMs). CHI Extended Abstracts (2024)
Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning. EACL (1) (2024)
Md Sultan Al Nahian, Spencer Frazier, Mark O. Riedl, Brent Harrison
Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior. IEEE Trans. Artif. Intell. 5 (7) (2024)
Upol Ehsan, Mark O. Riedl
Social construction of XAI: Do we need one definition to rule them all? Patterns 5 (2) (2024)
Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl
Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models. ICLR (2024)
Upol Ehsan, Samir Passi, Q. Vera Liao, Larry Chan, I-Hsiang Lee, Michael J. Muller, Mark O. Riedl
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations. CHI (2024)
Rishav Bhagat, Jonathan Balloch, Zhiyu Lin, Julia Kim, Mark O. Riedl
External Model Motivated Agents: Reinforcement Learning for Enhanced Environment Sampling. CoRR (2024)
Deven R. Desai, Mark O. Riedl
Between Copyright and Computer Science: The Law and Ethics of Generative AI. CoRR (2024)
Christopher Cui, Xiangyu Peng, Mark O. Riedl
A Mixture-of-Experts Approach to Few-Shot Task Transfer in Open-Ended Text Worlds. CoRR (2024)
Jonathan C. Balloch, Rishav Bhagat, Geigh Zollicoffer, Ruoran Jia, Julia M. Kim, Mark O. Riedl
Is Exploration All You Need? Effective Exploration Characteristics for Transfer in Reinforcement Learning. CoRR (2024)
Upol Ehsan, Mark O. Riedl
Explainability pitfalls: Beyond dark patterns in explainable AI. Patterns 5 (6) (2024)
Upol Ehsan, Q. Vera Liao, Samir Passi, Mark O. Riedl, Hal Daumé III
Seamful XAI: Operationalizing Seamful Design in Explainable AI. Proc. ACM Hum. Comput. Interact. 8 (CSCW1) (2024)
Kenneth Eaton, Jonathan Balloch, Julia M. Kim, Mark O. Riedl
The Interpretability of Codebooks in Model-Based Reinforcement Learning is Limited. CoRR (2024)
Upol Ehsan, Koustuv Saha, Munmun De Choudhury, Mark O. Riedl
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI. CoRR (2023)
Rohan Agarwal, Zhiyu Lin, Mark O. Riedl
A Controllable Co-Creative Agent for Game System Design. CoRR (2023)
Jonathan C. Balloch, Zhiyu Lin, Robert Wright, Xiangyu Peng, Mustafa Hussain, Aarun Srinivas, Julia Kim, Mark O. Riedl
Neuro-Symbolic World Models for Adapting to Open World Novelty. CoRR (2023)
Wei Zhou, Xiangyu Peng, Mark O. Riedl
Dialogue Shaping: Empowering Agents through NPC Interaction. EXAG@AIIDE (2023)
Gennie Mansi, Mark O. Riedl
Why Don't You Do Something About It? Outlining Connections between AI Explanations and User Actions. CoRR (2023)
Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer. CoRR (2023)
Jonathan C. Balloch, Zhiyu Lin, Xiangyu Peng, Mustafa Hussain, Aarun Srinivas, Robert Wright, Julia M. Kim, Mark O. Riedl
Neuro-Symbolic World Models for Adapting to Open World Novelty. AAMAS (2023)
Xiangyu Peng, Christopher Cui, Wei Zhou, Renee Jia, Mark O. Riedl
Story Shaping: Teaching Agents Human-Like Behavior with Stories. AIIDE (2023)
Christopher Cui, Xiangyu Peng, Mark O. Riedl
Thespian: Multi-Character Text Role-Playing Game Agents. CoRR (2023)
Upol Ehsan, Koustuv Saha, Munmun De Choudhury, Mark O. Riedl
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI. Proc. ACM Hum. Comput. Interact. 7 (CSCW1) (2023)
Wei Zhou, Xiangyu Peng, Mark O. Riedl
Dialogue Shaping: Empowering Agents through NPC Interaction. CoRR (2023)
Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl
Improving Language Models with Advantage-based Offline Policy Gradients. CoRR (2023)
Zhiyu Lin, Upol Ehsan, Rohan Agarwal, Samihan Dani, Vidushi Vashishth, Mark O. Riedl
Beyond Prompts: Exploring the Design Space of Mixed-Initiative Co-Creativity Systems. CoRR (2023)
Zhiyu Lin, Mark O. Riedl
An Ontology of Co-Creative AI Systems. CoRR (2023)
Upol Ehsan, Philipp Wintersberger, Elizabeth Anne Watkins, Carina Manger, Gonzalo Ramos, Justin D. Weisz, Hal Daumé III, Andreas Riener, Mark O. Riedl
Human-Centered Explainable AI (HCXAI): Coming of Age. CHI Extended Abstracts (2023)
Zexin Chen, Eric Zhou, Kenneth Eaton, Xiangyu Peng, Mark O. Riedl
Ambient Adventures: Teaching ChatGPT on Developing Complex Stories. CoRR (2023)
Xiangyu Peng, Christopher Cui, Wei Zhou, Renee Jia, Mark O. Riedl
Story Shaping: Teaching Agents Human-like Behavior with Stories. CoRR (2023)
Geigh Zollicoffer, Kenneth Eaton, Jonathan C. Balloch, Julia M. Kim, Mark O. Riedl, Robert Wright
A Simple Way to Incorporate Novelty Detection in World Models. CoRR (2023)
Christopher Cui, Xiangyu Peng, Mark O. Riedl
Thespian: Multi-Character Text Role-Playing Game Agents. EXAG@AIIDE (2023)
Xiangyu Peng, Kaige Xie, Amal Alabdulkarim, Harshith Kayam, Samihan Dani, Mark O. Riedl
Guiding Neural Story Generation with Reader Models. EMNLP (Findings) (2022)
Kaige Xie, Sarah Wiegreffe, Mark O. Riedl
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes. EMNLP (Findings) (2022)
Prithviraj Ammanabrolu, Renee Jia, Mark O. Riedl
Situated Dialogue Learning through Procedural Environment Generation. ACL (1) (2022)
Upol Ehsan, Philipp Wintersberger, Q. Vera Liao, Elizabeth Anne Watkins, Carina Manger, Hal Daumé III, Andreas Riener, Mark O. Riedl
Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI. CHI Extended Abstracts (2022)
Matthew Guzdial, Mark O. Riedl
Conceptual Game Expansion. IEEE Trans. Games 14 (1) (2022)
Zhiyu Lin, Rohan Agarwal, Mark O. Riedl
Creative Wand: A System to Study Effects of Communications in Co-creative Settings. AIIDE (2022)
Upol Ehsan, Q. Vera Liao, Samir Passi, Mark O. Riedl, Hal Daumé III
Seamful XAI: Operationalizing Seamful Design in Explainable AI. CoRR (2022)
Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark O. Riedl, Yejin Choi
Reframing Human-AI Collaboration for Generating Free-Text Explanations. NAACL-HLT (2022)
Jonathan C. Balloch, Julia Kim, Jessica L. Inman, Mark O. Riedl
The Role of Exploration for Task Transfer in Reinforcement Learning. CoRR (2022)
Zhiyu Lin, Rohan Agarwal, Mark O. Riedl
Creative Wand: A System to Study Effects of Communications in Co-Creative Settings. CoRR (2022)
Upol Ehsan, Ranjit Singh, Jacob Metcalf, Mark O. Riedl
The Algorithmic Imprint. CoRR (2022)
Md Sultan Al Nahian, Spencer Frazier, Brent Harrison, Mark O. Riedl
Machine Learning Approaches for Principle Prediction in Naturally Occurring Stories. CoRR (2022)
Xiangyu Peng, Siyan Li, Sarah Wiegreffe, Mark O. Riedl
Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning. EMNLP (Findings) (2022)
Amal Alabdulkarim, Mark O. Riedl
Experiential Explanations for Reinforcement Learning. CoRR (2022)
Xiangyu Peng, Mark O. Riedl, Prithviraj Ammanabrolu
Inherently Explainable Reinforcement Learning in Natural Language. NeurIPS (2022)
Upol Ehsan, Mark O. Riedl
Social Construction of XAI: Do We Need One Definition to Rule Them All? CoRR (2022)
Anbang Ye, Christopher Cui, Taiwei Shi, Mark O. Riedl
Neural Story Planning. CoRR (2022)
Jonathan C. Balloch, Zhiyu Lin, Mustafa Hussain, Aarun Srinivas, Robert Wright, Xiangyu Peng, Julia Kim, Mark O. Riedl
NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty. CoRR (2022)
Kaige Xie, Sarah Wiegreffe, Mark O. Riedl
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes. CoRR (2022)
Upol Ehsan, Mark O. Riedl
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI. CoRR (2021)
Upol Ehsan, Q. Vera Liao, Michael J. Muller, Mark O. Riedl, Justin D. Weisz
Expanding Explainability: Towards Social Transparency in AI systems. CHI (2021)
Prithviraj Ammanabrolu, Mark O. Riedl
Modeling Worlds in Text. NeurIPS Datasets and Benchmarks (2021)
Prithviraj Ammanabrolu, Renee Jia, Mark O. Riedl
Situated Dialogue Learning through Procedural Environment Generation. CoRR (2021)
Prithviraj Ammanabrolu, Mark O. Riedl
Modeling Worlds in Text. CoRR (2021)
Xiangyu Peng, Kaige Xie, Amal Alabdulkarim, Harshith Kayam, Samihan Dani, Mark O. Riedl
Guiding Neural Story Generation with Reader Models. CoRR (2021)
Prithviraj Ammanabrolu, Mark O. Riedl
Situated language learning via interactive narratives. Patterns 2 (9) (2021)
Xiangyu Peng, Jonathan C. Balloch, Mark O. Riedl
Detecting and Adapting to Novelty in Games. CoRR (2021)
Upol Ehsan, Q. Vera Liao, Michael J. Muller, Mark O. Riedl, Justin D. Weisz
Expanding Explainability: Towards Social Transparency in AI systems. CoRR (2021)
Zhiyu Lin, Mark O. Riedl
Plug-and-Blend: A Framework for Plug-and-Play Controllable Story Generation with Sketches. AIIDE (2021)
Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, Mark O. Riedl
Automated Storytelling via Causal, Commonsense Plot Ordering. AAAI (2021)
Prithviraj Ammanabrolu, Mark O. Riedl
Learning Knowledge Graph-based World Models of Textual Environments. NeurIPS (2021)
Upol Ehsan, Samir Passi, Q. Vera Liao, Larry Chan, I-Hsiang Lee, Michael J. Muller, Mark O. Riedl
The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations. CoRR (2021)
Wai Man Si, Prithviraj Ammanabrolu, Mark O. Riedl
Telling Stories through Multi-User Dialogue by Modeling Character Relations. CoRR (2021)
Xiangyu Peng, Mark O. Riedl, Prithviraj Ammanabrolu
Inherently Explainable Reinforcement Learning in Natural Language. CoRR (2021)
Ronal Singh, Upol Ehsan, Marc Cheong, Mark O. Riedl, Tim Miller
LEx: A Framework for Operationalising Layers of Machine Learning Explanations. CoRR (2021)
Prithviraj Ammanabrolu, Mark O. Riedl
Situated Language Learning via Interactive Narratives. CoRR (2021)
Upol Ehsan, Philipp Wintersberger, Q. Vera Liao, Martina Mara, Marc Streit, Sandra Wachter, Andreas Riener, Mark O. Riedl
Operationalizing Human-Centered Perspectives in Explainable AI. CHI Extended Abstracts (2021)
Prithviraj Ammanabrolu, Mark O. Riedl
Learning Knowledge Graph-based World Models of Textual Environments. CoRR (2021)
Amal Alabdulkarim, Winston Li, Lara J. Martin, Mark O. Riedl
Goal-Directed Story Generation: Augmenting Generative Language Models with Reinforcement Learning. CoRR (2021)
Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung, Zhaochen Luo, William Ma, Lara J. Martin, Mark O. Riedl
Story Realization: Expanding Plot Events into Sentences. AAAI (2020)
Prithviraj Ammanabrolu, Ethan Tien, Matthew J. Hausknecht, Mark O. Riedl
How to Avoid Being Eaten by a Grue: Structured Exploration Strategies for Textual Worlds. CoRR (2020)
Upol Ehsan, Mark O. Riedl
Human-centered Explainable AI: Towards a Reflective Sociotechnical Approach. CoRR (2020)
Prithviraj Ammanabrolu, Wesley Cheung, Dan Tu, William Broniec, Mark O. Riedl
Bringing Stories Alive: Generating Interactive Fiction Worlds. CoRR (2020)
Upol Ehsan, Mark O. Riedl
Human-Centered Explainable AI: Towards a Reflective Sociotechnical Approach. HCI (42) (2020)
Sahith N. Dambekodi, Spencer Frazier, Prithviraj Ammanabrolu, Mark O. Riedl
Playing Text-Based Games with Common Sense. CoRR (2020)
Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, Mark O. Riedl
Automated Storytelling via Causal, Commonsense Plot Ordering. CoRR (2020)
Prithviraj Ammanabrolu, Wesley Cheung, Dan Tu, William Broniec, Mark O. Riedl
Bringing Stories Alive: Generating Interactive Fiction Worlds. AIIDE (2020)
Prithviraj Ammanabrolu, Ethan Tien, Zhaochen Luo, Mark O. Riedl
How To Avoid Being Eaten By a Grue: Exploration Strategies for Text-Adventure Agents. CoRR (2020)
Prithviraj Ammanabrolu, William Broniec, Alex Mueller, Jeremy Paul, Mark O. Riedl
Toward Automated Quest Generation in Text-Adventure Games. ICCC (2020)
Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung, Zhaochen Luo, William Ma, Lara J. Martin, Mark O. Riedl
Story Realization: Expanding Plot Events into Sentences. CoRR (2019)
Prithviraj Ammanabrolu, Mark O. Riedl
Transfer in Deep Reinforcement Learning using Knowledge Graphs. CoRR (2019)
Alexander Zook, Mark O. Riedl
Learning How Design Choices Impact Gameplay Behavior. IEEE Trans. Games 11 (1) (2019)
Prithviraj Ammanabrolu, William Broniec, Alex Mueller, Jeremy Paul, Mark O. Riedl
Toward Automated Quest Generation in Text-Adventure Games. CoRR (2019)
Alexander Zook, Mark O. Riedl
Automatic Game Design via Mechanic Generation. CoRR (2019)
Pradyumna Tambwekar, Murtaza Dhuliawala, Lara J. Martin, Animesh Mehta, Brent Harrison, Mark O. Riedl
Controllable Neural Story Plot Generation via Reward Shaping. IJCAI (2019)
Alexander Zook, Brent Harrison, Mark O. Riedl
Monte-Carlo Tree Search for Simulation-based Strategy Analysis. CoRR (2019)
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)
Alexander Zook, Eric Fruchter, Mark O. Riedl
Automatic Playtesting for Game Parameter Tuning via Active Learning. CoRR (2019)
Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, Mark O. Riedl
Automated rationale generation: a technique for explainable AI and its effects on human perceptions. IUI (2019)
Shukan Shah, Matthew Guzdial, Mark O. Riedl
Automated Let's Play Commentary. CoRR (2019)
Andrew Hoyt, Matthew Guzdial, Yalini Kumar, Gillian Smith, Mark O. Riedl
Integrating Automated Play in Level Co-Creation. CoRR (2019)
Mark O. Riedl
Human-Centered Artificial Intelligence and Machine Learning. CoRR (2019)
Matthew J. Guzdial, Mark O. Riedl
Combinatorial Creativity for Procedural Content Generation via Machine Learning. AAAI Workshops (2018)
Matthew Guzdial, Mark O. Riedl
Combinets: Learning New Classifiers via Recombination. CoRR (2018)
Matthew Guzdial, Nicholas Liao, Vishwa Shah, Mark O. Riedl
Creative Invention Benchmark. CoRR (2018)
Upol Ehsan, Brent Harrison, Larry Chan, Mark O. Riedl
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations. AIES (2018)

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Publication Activity (10 Years)

Top Topics

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Mark O. Riedl