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ORCIDMark O. Riedl
Mark Owen Riedl
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- affiliation: Georgia Institute of Technology, School of Interactive Computing, Atlanta, GA, USA
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2020 – today
- 2025
[c164]Kaige Xie, Ian Yang, John Gunerli, Mark O. Riedl:
Making Large Language Models into World Models with Precondition and Effect Knowledge. COLING 2025: 7532-7545- [i106]Md Sultan Al Nahian, Tasmia Tasrin, Spencer Frazier, Mark O. Riedl, Brent Harrison:
The Goofus & Gallant Story Corpus for Practical Value Alignment. CoRR abs/2501.09707 (2025) - [i105]Deven R. Desai, Mark O. Riedl:
Responsible AI Agents. CoRR abs/2502.18359 (2025) - 2024
- [j25]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): 1-29 (2024) - [j24]Upol Ehsan, Mark O. Riedl:
Social construction of XAI: Do we need one definition to rule them all? Patterns 5(2): 100926 (2024) - [j23]Upol Ehsan, Mark O. Riedl:
Explainability pitfalls: Beyond dark patterns in explainable AI. Patterns 5(6): 100971 (2024) - [j22]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): 3350-3361 (2024) - [c163]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: 316:1-316:32 - [c162]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: 477:1-477:6 - [c161]Kaige Xie, Mark O. Riedl:
Creating Suspenseful Stories: Iterative Planning with Large Language Models. EACL (1) 2024: 2391-2407 - [c160]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: 2408-2421 - [c159]Zhiyu Lin, Upol Ehsan, Rohan Agarwal, Samihan Dani, Vidushi Vashishth, Mark O. Riedl:
Beyond Following: Mixing Active Initiative into Computational Creativity. EXAG@AIIDE 2024 - [c158]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 - [c157]Md Sultan Al Nahian, Tasmia Tasrin, Spencer Frazier, Mark O. Riedl, Brent Harrison:
The Goofus & Gallant Story Corpus for Practical Value Alignment. ICMLA 2024: 677-684 - [i104]Kaige Xie, Mark O. Riedl:
Creating Suspenseful Stories: Iterative Planning with Large Language Models. CoRR abs/2402.17119 (2024) - [i103]Deven R. Desai, Mark O. Riedl:
Between Copyright and Computer Science: The Law and Ethics of Generative AI. CoRR abs/2403.14653 (2024) - [i102]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 abs/2404.02235 (2024) - [i101]Christopher Cui, Xiangyu Peng, Mark O. Riedl:
A Mixture-of-Experts Approach to Few-Shot Task Transfer in Open-Ended Text Worlds. CoRR abs/2405.06059 (2024) - [i100]Rishav Bhagat, Jonathan Balloch, Zhiyu Lin, Julia Kim, Mark O. Riedl:
External Model Motivated Agents: Reinforcement Learning for Enhanced Environment Sampling. CoRR abs/2407.00264 (2024) - [i99]Kenneth Eaton, Jonathan Balloch, Julia M. Kim, Mark O. Riedl:
The Interpretability of Codebooks in Model-Based Reinforcement Learning is Limited. CoRR abs/2407.19532 (2024) - [i98]Upol Ehsan, Mark O. Riedl:
Explainable AI Reloaded: Challenging the XAI Status Quo in the Era of Large Language Models. CoRR abs/2408.05345 (2024) - [i97]Kaige Xie, Ian Yang, John Gunerli, Mark O. Riedl:
Making Large Language Models into World Models with Precondition and Effect Knowledge. CoRR abs/2409.12278 (2024) - [i96]Zhiyu Lin, Upol Ehsan, Rohan Agarwal, Samihan Dani, Vidushi Vashishth, Mark O. Riedl:
Beyond Following: Mixing Active Initiative into Computational Creativity. CoRR abs/2409.16291 (2024) - [i95]Gennie Mansi, Mark O. Riedl:
Recognizing Lawyers as AI Creators and Intermediaries in Contestability. CoRR abs/2409.17626 (2024) - [i94]Ashutosh Baheti, Debanjana Chakraborty, Faeze Brahman, Ronan Le Bras, Ximing Lu, Nouha Dziri, Yejin Choi, Mark O. Riedl, Maarten Sap:
Multi-Attribute Constraint Satisfaction via Language Model Rewriting. CoRR abs/2412.19198 (2024) - 2023
- [j21]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): 1-32 (2023) - [c156]Xiangyu Peng, Christopher Cui, Wei Zhou, Renee Jia, Mark O. Riedl:
Story Shaping: Teaching Agents Human-Like Behavior with Stories. AIIDE 2023: 326-336 - [c155]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: 2848-2850 - [c154]Upol Ehsan, Philipp Wintersberger, Elizabeth Anne Watkins, Carina Manger, Gonzalo A. Ramos, Justin D. Weisz, Hal Daumé III, Andreas Riener, Mark O. Riedl:
Human-Centered Explainable AI (HCXAI): Coming of Age. CHI Extended Abstracts 2023: 353:1-353:7 - [c153]Christopher Cui, Xiangyu Peng, Mark O. Riedl:
Thespian: Multi-Character Text Role-Playing Game Agents. EXAG@AIIDE 2023 - [c152]Wei Zhou, Xiangyu Peng, Mark O. Riedl:
Dialogue Shaping: Empowering Agents through NPC Interaction. EXAG@AIIDE 2023 - [c151]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. ICCC 2023: 64-73 - [i93]Jonathan C. Balloch, Zhiyu Lin, Robert Wright, Xiangyu Peng, Mustafa Hussain, Aarun Srinivas, Julia M. Kim, Mark O. Riedl:
Neuro-Symbolic World Models for Adapting to Open World Novelty. CoRR abs/2301.06294 (2023) - [i92]Xiangyu Peng, Christopher Cui, Wei Zhou, Renee Jia, Mark O. Riedl:
Story Shaping: Teaching Agents Human-like Behavior with Stories. CoRR abs/2301.10107 (2023) - [i91]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 abs/2302.00799 (2023) - [i90]Gennie Mansi, Mark O. Riedl:
Why Don't You Do Something About It? Outlining Connections between AI Explanations and User Actions. CoRR abs/2305.06297 (2023) - [i89]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 abs/2305.07465 (2023) - [i88]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 abs/2305.12077 (2023) - [i87]Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark O. Riedl:
Improving Language Models with Advantage-based Offline Policy Gradients. CoRR abs/2305.14718 (2023) - [i86]Wei Zhou, Xiangyu Peng, Mark O. Riedl:
Dialogue Shaping: Empowering Agents through NPC Interaction. CoRR abs/2307.15833 (2023) - [i85]Zexin Chen, Eric Zhou, Kenneth Eaton, Xiangyu Peng, Mark O. Riedl:
Ambient Adventures: Teaching ChatGPT on Developing Complex Stories. CoRR abs/2308.01734 (2023) - [i84]Christopher Cui, Xiangyu Peng, Mark O. Riedl:
Thespian: Multi-Character Text Role-Playing Game Agents. CoRR abs/2308.01872 (2023) - [i83]Rohan Agarwal, Zhiyu Lin, Mark O. Riedl:
A Controllable Co-Creative Agent for Game System Design. CoRR abs/2308.02317 (2023) - [i82]Zhiyu Lin, Mark O. Riedl:
An Ontology of Co-Creative AI Systems. CoRR abs/2310.07472 (2023) - [i81]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 abs/2310.08731 (2023) - 2022
- [j20]Matthew Guzdial, Mark O. Riedl:
Conceptual Game Expansion. IEEE Trans. Games 14(1): 93-106 (2022) - [c150]Prithviraj Ammanabrolu, Renee Jia, Mark O. Riedl:
Situated Dialogue Learning through Procedural Environment Generation. ACL (1) 2022: 8099-8116 - [c149]Zhiyu Lin, Rohan Agarwal, Mark O. Riedl:
Creative Wand: A System to Study Effects of Communications in Co-creative Settings. AIIDE 2022: 45-52 - [c148]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: 109:1-109:7 - [c147]Kaige Xie, Sarah Wiegreffe, Mark O. Riedl:
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes. EMNLP (Findings) 2022: 2888-2902 - [c146]Xiangyu Peng, Siyan Li, Sarah Wiegreffe, Mark O. Riedl:
Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning. EMNLP (Findings) 2022: 7008-7029 - [c145]Xiangyu Peng, Kaige Xie, Amal Alabdulkarim, Harshith Kayam, Samihan Dani, Mark O. Riedl:
Guiding Neural Story Generation with Reader Models. EMNLP (Findings) 2022: 7087-7111 - [c144]Upol Ehsan, Ranjit Singh, Jacob Metcalf, Mark O. Riedl:
The Algorithmic Imprint. FAccT 2022: 1305-1317 - [c143]Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark O. Riedl, Yejin Choi:
Reframing Human-AI Collaboration for Generating Free-Text Explanations. NAACL-HLT 2022: 632-658 - [c142]Xiangyu Peng, Mark O. Riedl, Prithviraj Ammanabrolu:
Inherently Explainable Reinforcement Learning in Natural Language. NeurIPS 2022 - [i80]Jonathan C. Balloch, Zhiyu Lin, Mustafa Hussain, Aarun Srinivas, Robert Wright, Xiangyu Peng, Julia M. Kim, Mark O. Riedl:
NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty. CoRR abs/2203.12117 (2022) - [i79]Kaige Xie, Sarah Wiegreffe, Mark O. Riedl:
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes. CoRR abs/2204.07693 (2022) - [i78]Upol Ehsan, Ranjit Singh, Jacob Metcalf, Mark O. Riedl:
The Algorithmic Imprint. CoRR abs/2206.03275 (2022) - [i77]Zhiyu Lin, Rohan Agarwal, Mark O. Riedl:
Creative Wand: A System to Study Effects of Communications in Co-Creative Settings. CoRR abs/2208.02886 (2022) - [i76]Amal Alabdulkarim, Mark O. Riedl:
Experiential Explanations for Reinforcement Learning. CoRR abs/2210.04723 (2022) - [i75]Jonathan C. Balloch, Julia M. Kim, Jessica L. Inman, Mark O. Riedl:
The Role of Exploration for Task Transfer in Reinforcement Learning. CoRR abs/2210.06168 (2022) - [i74]Louis Castricato, Alexander Havrilla, Shahbuland Matiana, Michael Pieler, Anbang Ye, Ian Yang, Spencer Frazier, Mark O. Riedl:
Robust Preference Learning for Storytelling via Contrastive Reinforcement Learning. CoRR abs/2210.07792 (2022) - [i73]Upol Ehsan, Mark O. Riedl:
Social Construction of XAI: Do We Need One Definition to Rule Them All? CoRR abs/2211.06499 (2022) - [i72]Upol Ehsan, Q. Vera Liao, Samir Passi, Mark O. Riedl, Hal Daumé III:
Seamful XAI: Operationalizing Seamful Design in Explainable AI. CoRR abs/2211.06753 (2022) - [i71]Md Sultan Al Nahian, Spencer Frazier, Brent Harrison, Mark O. Riedl:
Machine Learning Approaches for Principle Prediction in Naturally Occurring Stories. CoRR abs/2212.06048 (2022) - [i70]Anbang Ye, Christopher Cui, Taiwei Shi, Mark O. Riedl:
Neural Story Planning. CoRR abs/2212.08718 (2022) - 2021
- [j19]Oded Nov, Yindalon Aphinyanaphongs, Yvonne W. Lui, Devin M. Mann, Maurizio Porfiri, Mark O. Riedl, John-Ross Rizzo, Batia Mishan Wiesenfeld:
The transformation of patient-clinician relationships with AI-based medical advice. Commun. ACM 64(3): 46-48 (2021) - [j18]Prithviraj Ammanabrolu, Mark O. Riedl:
Situated language learning via interactive narratives. Patterns 2(9): 100316 (2021) - [c141]Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, Mark O. Riedl:
Automated Storytelling via Causal, Commonsense Plot Ordering. AAAI 2021: 5859-5867 - [c140]Zhiyu Lin, Mark O. Riedl:
Plug-and-Blend: A Framework for Plug-and-Play Controllable Story Generation with Sketches. AIIDE 2021: 58-65 - [c139]Upol Ehsan, Q. Vera Liao, Michael J. Muller, Mark O. Riedl, Justin D. Weisz:
Expanding Explainability: Towards Social Transparency in AI systems. CHI 2021: 82:1-82:19 - [c138]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: 94:1-94:6 - [c137]Ashutosh Baheti, Maarten Sap, Alan Ritter, Mark O. Riedl:
Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts. EMNLP (1) 2021: 4846-4862 - [c136]Divya K. Srivastava, Spencer Frazier, Mark O. Riedl, Karen M. Feigh:
Effect of Interaction Design of Reinforcement Learning Agents on Human Satisfaction in Partially Observable Domains. VISIGRAPP (2: HUCAPP) 2021: 174-181 - [c135]Prithviraj Ammanabrolu, Mark O. Riedl:
Learning Knowledge Graph-based World Models of Textual Environments. NeurIPS 2021: 3720-3731 - [c134]Prithviraj Ammanabrolu, Mark O. Riedl:
Modeling Worlds in Text. NeurIPS Datasets and Benchmarks 2021 - [c133]Wai Man Si, Prithviraj Ammanabrolu, Mark O. Riedl:
Telling Stories through Multi-User Dialogue by Modeling Character Relations. SIGDIAL 2021: 269-275 - [i69]Upol Ehsan, Q. Vera Liao, Michael J. Muller, Mark O. Riedl, Justin D. Weisz:
Expanding Explainability: Towards Social Transparency in AI systems. CoRR abs/2101.04719 (2021) - [i68]Prithviraj Ammanabrolu, Mark O. Riedl:
Situated Language Learning via Interactive Narratives. CoRR abs/2103.09977 (2021) - [i67]Zhiyu Lin, Mark O. Riedl:
Plug-and-Blend: A Framework for Controllable Story Generation with Blended Control Codes. CoRR abs/2104.04039 (2021) - [i66]Louis Castricato, Spencer Frazier, Jonathan C. Balloch, Mark O. Riedl:
Fabula Entropy Indexing: Objective Measures of Story Coherence. CoRR abs/2104.07472 (2021) - [i65]Md Sultan Al Nahian, Spencer Frazier, Brent Harrison, Mark O. Riedl:
Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior. CoRR abs/2104.09469 (2021) - [i64]Ronal Singh, Upol Ehsan, Marc Cheong, Mark O. Riedl, Tim Miller:
LEx: A Framework for Operationalising Layers of Machine Learning Explanations. CoRR abs/2104.09612 (2021) - [i63]Xiangyu Peng, Siyan Li, Sarah Wiegreffe, Mark O. Riedl:
Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning. CoRR abs/2105.01311 (2021) - [i62]Wai Man Si, Prithviraj Ammanabrolu, Mark O. Riedl:
Telling Stories through Multi-User Dialogue by Modeling Character Relations. CoRR abs/2105.15054 (2021) - [i61]Xiangyu Peng, Jonathan C. Balloch, Mark O. Riedl:
Detecting and Adapting to Novelty in Games. CoRR abs/2106.02204 (2021) - [i60]Prithviraj Ammanabrolu, Mark O. Riedl:
Modeling Worlds in Text. CoRR abs/2106.09578 (2021) - [i59]Prithviraj Ammanabrolu, Mark O. Riedl:
Learning Knowledge Graph-based World Models of Textual Environments. CoRR abs/2106.09608 (2021) - [i58]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 abs/2107.13509 (2021) - [i57]Ashutosh Baheti, Maarten Sap, Alan Ritter, Mark O. Riedl:
Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts. CoRR abs/2108.11830 (2021) - [i56]Upol Ehsan, Mark O. Riedl:
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI. CoRR abs/2109.12480 (2021) - [i55]Prithviraj Ammanabrolu, Renee Jia, Mark O. Riedl:
Situated Dialogue Learning through Procedural Environment Generation. CoRR abs/2110.03262 (2021) - [i54]Louis Castricato, Spencer Frazier, Jonathan C. Balloch, Nitya Tarakad, Mark O. Riedl:
Automated Story Generation as Question-Answering. CoRR abs/2112.03808 (2021) - [i53]Amal Alabdulkarim, Winston Li, Lara J. Martin, Mark O. Riedl:
Goal-Directed Story Generation: Augmenting Generative Language Models with Reinforcement Learning. CoRR abs/2112.08593 (2021) - [i52]Xiangyu Peng, Kaige Xie, Amal Alabdulkarim, Harshith Kayam, Samihan Dani, Mark O. Riedl:
Guiding Neural Story Generation with Reader Models. CoRR abs/2112.08596 (2021) - [i51]Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark O. Riedl, Yejin Choi:
Reframing Human-AI Collaboration for Generating Free-Text Explanations. CoRR abs/2112.08674 (2021) - [i50]Xiangyu Peng, Mark O. Riedl, Prithviraj Ammanabrolu:
Inherently Explainable Reinforcement Learning in Natural Language. CoRR abs/2112.08907 (2021) - 2020
- [c132]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: 7375-7382 - [c131]Md Sultan Al Nahian, Spencer Frazier, Mark O. Riedl, Brent Harrison:
Learning Norms from Stories: A Prior for Value Aligned Agents. AIES 2020: 124-130 - [c130]Prithviraj Ammanabrolu, Wesley Cheung, Dan Tu, William Broniec, Mark O. Riedl:
Bringing Stories Alive: Generating Interactive Fiction Worlds. AIIDE 2020: 3-9 - [c129]Upol Ehsan, Mark O. Riedl:
Human-Centered Explainable AI: Towards a Reflective Sociotechnical Approach. HCI (42) 2020: 449-466 - [c128]Prithviraj Ammanabrolu, William Broniec, Alex Mueller, Jeremy Paul, Mark O. Riedl:
Toward Automated Quest Generation in Text-Adventure Games. ICCC 2020: 131-138 - [c127]Xiangyu Peng, Siyan Li, Spencer Frazier, Mark O. Riedl:
Reducing Non-Normative Text Generation from Language Models. INLG 2020: 374-383 - [i49]Xiangyu Peng, Siyan Li, Spencer Frazier, Mark O. Riedl:
Fine-Tuning a Transformer-Based Language Model to Avoid Generating Non-Normative Text. CoRR abs/2001.08764 (2020) - [i48]Prithviraj Ammanabrolu, Wesley Cheung, Dan Tu, William Broniec, Mark O. Riedl:
Bringing Stories Alive: Generating Interactive Fiction Worlds. CoRR abs/2001.10161 (2020) - [i47]Upol Ehsan, Mark O. Riedl:
Human-centered Explainable AI: Towards a Reflective Sociotechnical Approach. CoRR abs/2002.01092 (2020) - [i46]Prithviraj Ammanabrolu, Ethan Tien, Zhaochen Luo, Mark O. Riedl:
How To Avoid Being Eaten By a Grue: Exploration Strategies for Text-Adventure Agents. CoRR abs/2002.08795 (2020) - [i45]Matthew Guzdial, Mark O. Riedl:
Conceptual Game Expansion. CoRR abs/2002.09636 (2020) - [i44]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 abs/2006.07409 (2020) - [i43]Oded Nov, Yindalon Aphinyanaphongs, Yvonne W. Lui, Devin M. Mann, Maurizio Porfiri, Mark O. Riedl, John-Ross Rizzo, Batia Mishan Wiesenfeld:
The Transformation of Patient-Clinician Relationships With AI-Based Medical Advice: A "Bring Your Own Algorithm" Era in Healthcare. CoRR abs/2008.05855 (2020) - [i42]Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, Mark O. Riedl:
Automated Storytelling via Causal, Commonsense Plot Ordering. CoRR abs/2009.00829 (2020) - [i41]Mark O. Riedl:
Weird AI Yankovic: Generating Parody Lyrics. CoRR abs/2009.12240 (2020) - [i40]Sahith N. Dambekodi, Spencer Frazier, Prithviraj Ammanabrolu, Mark O. Riedl:
Playing Text-Based Games with Common Sense. CoRR abs/2012.02757 (2020)
2010 – 2019
- 2019
- [j17]Alexander Zook, Mark O. Riedl:
Learning How Design Choices Impact Gameplay Behavior. IEEE Trans. Games 11(1): 25-35 (2019) - [c126]Zhiyu Lin, Mark O. Riedl, Kyle Xiao:
GenerationMania: Learning to Semantically Choreograph. KEG@AAAI 2019: 51-57 - [c125]Mark O. Riedl, Brent Harrison:
Enter the Matrix: Safely Interruptible Autonomous Systems via Virtualization. SafeAI@AAAI 2019 - [c124]Zhiyu Lin, Kyle Xiao, Mark O. Riedl:
GenerationMania: Learning to Semantically Choreograph. AIIDE 2019: 52-58 - [c123]Spencer Frazier, Mark O. Riedl:
Improving Deep Reinforcement Learning in Minecraft with Action Advice. AIIDE 2019: 146-152 - [c122]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 - [c121]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 - [c120]Matthew Guzdial, Mark O. Riedl:
Combinets: Creativity via Recombination of Neural Networks. ICCC 2019: 180-187 - [c119]Pradyumna Tambwekar, Murtaza Dhuliawala, Lara J. Martin, Animesh Mehta, Brent Harrison, Mark O. Riedl:
Controllable Neural Story Plot Generation via Reward Shaping. IJCAI 2019: 5982-5988 - [c118]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: 263-274 - [c117]Prithviraj Ammanabrolu, Mark O. Riedl:
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning. NAACL-HLT (1) 2019: 3557-3565 - [c116]Prithviraj Ammanabrolu, Mark O. Riedl:
Transfer in Deep Reinforcement Learning Using Knowledge Graphs. TextGraphs@EMNLP 2019: 1-10 - [i39]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. CoRR abs/1901.03729 (2019) - [i38]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) - [i37]Mark O. Riedl:
Human-Centered Artificial Intelligence and Machine Learning. CoRR abs/1901.11184 (2019) - [i36]Matthew Guzdial, Mark O. Riedl:
An Interaction Framework for Studying Co-Creative AI. CoRR abs/1903.09709 (2019) - [i35]Zijin Luo, Matthew Guzdial, Mark O. Riedl:
Making CNNs for Video Parsing Accessible. CoRR abs/1906.11877 (2019) - [i34]Spencer Frazier, Mark O. Riedl:
Improving Deep Reinforcement Learning in Minecraft with Action Advice. CoRR abs/1908.01007 (2019) - [i33]Alexander Zook, Eric Fruchter, Mark O. Riedl:
Automatic Playtesting for Game Parameter Tuning via Active Learning. CoRR abs/1908.01417 (2019) - [i32]Alexander Zook, Mark O. Riedl:
Automatic Game Design via Mechanic Generation. CoRR abs/1908.01420 (2019) - [i31]Alexander Zook, Brent Harrison, Mark O. Riedl:
Monte-Carlo Tree Search for Simulation-based Strategy Analysis. CoRR abs/1908.01423 (2019) - [i30]Prithviraj Ammanabrolu, Mark O. Riedl:
Transfer in Deep Reinforcement Learning using Knowledge Graphs. CoRR abs/1908.06556 (2019) - [i29]Shukan Shah, Matthew Guzdial, Mark O. Riedl:
Automated Let's Play Commentary. CoRR abs/1909.02195 (2019) - [i28]Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung, Zhaochen Luo, William Ma, Lara J. Martin, Mark O. Riedl:
Story Realization: Expanding Plot Events into Sentences. CoRR abs/1909.03480 (2019) - [i27]Prithviraj Ammanabrolu, William Broniec, Alex Mueller, Jeremy Paul, Mark O. Riedl:
Toward Automated Quest Generation in Text-Adventure Games. CoRR abs/1909.06283 (2019) - [i26]Andrew Hoyt, Matthew Guzdial, Yalini Kumar, Gillian Smith, Mark O. Riedl:
Integrating Automated Play in Level Co-Creation. CoRR abs/1911.09219 (2019) - [i25]Spencer Frazier, Md Sultan Al Nahian, Mark O. Riedl, Brent Harrison:
Learning Norms from Stories: A Prior for Value Aligned Agents. CoRR abs/1912.03553 (2019) - 2018
- [c115]Matthew Guzdial, Mark O. Riedl:
Combinatorial Creativity for Procedural Content Generation via Machine Learning. AAAI Workshops 2018: 557-564 - [c114]Lara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang, William Hancock, Shruti Singh, Brent Harrison, Mark O. Riedl:
Event Representations for Automated Story Generation with Deep Neural Nets. AAAI 2018: 868-875 - [c113]Upol Ehsan, Brent Harrison, Larry Chan, Mark O. Riedl:
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations. AIES 2018: 81-87 - [c112]Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, Mark O. Riedl:
Learning to Generate Natural Language Rationales for Game Playing Agents. AIIDE Workshops 2018 - [c111]Matthew Guzdial, Nicholas Liao, Mark O. Riedl:
Co-Creative Level Design via Machine Learning. AIIDE Workshops 2018 - [c110]Matthew Guzdial, Mark O. Riedl:
Automated Game Design via Conceptual Expansion. AIIDE 2018: 31-37 - [c109]Matthew Guzdial, Joshua Reno, Jonathan Chen, Gillian Smith, Mark O. Riedl:
Explainable PCGML via Game Design Patterns. AIIDE Workshops 2018 - [c108]Matthew Guzdial, Shukan Shah, Mark O. Riedl:
Towards Automated Let's Play Commentary. AIIDE Workshops 2018 - [c107]Zhiyu Lin, Kyle Xiao, Mark O. Riedl:
GenerationMania: Learning to Semantically Choreograph. AIIDE Workshops 2018 - [c106]Zijin Luo, Matthew Guzdial, Nicholas Liao, Mark O. Riedl:
Player Experience Extraction from Gameplay Video. AIIDE 2018: 52-58 - [c105]Lara J. Martin, Srijan Sood, Mark O. Riedl:
Dungeons and DQNs: Toward Reinforcement Learning Agents that Play Tabletop Roleplaying Games. INT/WICED@AIIDE 2018 - [c104]Christopher Purdy, Xinyu Wang, Larry He, Mark O. Riedl:
Predicting Generated Story Quality with Quantitative Measures. AIIDE 2018: 95-101 - [c103]Brent Harrison, Upol Ehsan, Mark O. Riedl:
Guiding Reinforcement Learning Exploration Using Natural Language. AAMAS 2018: 1956-1958 - [c102]Vishwa Shah, Nicholas Liao, Matthew Guzdial, Mark O. Riedl:
Creative Invention Benchmark. ICCC 2018: 192-199 - [c101]Siddarth Srinivasan, Richa Arora, Mark O. Riedl:
A Simple and Effective Approach to the Story Cloze Test. NAACL-HLT (2) 2018: 92-96 - [i24]Matthew Guzdial, Mark O. Riedl:
Combinets: Learning New Classifiers via Recombination. CoRR abs/1802.03605 (2018) - [i23]Siddarth Srinivasan, Richa Arora, Mark O. Riedl:
A Simple and Effective Approach to the Story Cloze Test. CoRR abs/1803.05547 (2018) - [i22]Matthew Guzdial, Nicholas Liao, Vishwa Shah, Mark O. Riedl:
Creative Invention Benchmark. CoRR abs/1805.03720 (2018) - [i21]Zhiyu Lin, Kyle Xiao, Mark O. Riedl:
GenerationMania: Learning to Semantically Choreograph. CoRR abs/1806.11170 (2018) - [i20]Matthew Guzdial, Mark O. Riedl:
Automated Game Design via Conceptual Expansion. CoRR abs/1809.02232 (2018) - [i19]Zijin Luo, Matthew Guzdial, Nicholas Liao, Mark O. Riedl:
Player Experience Extraction from Gameplay Video. CoRR abs/1809.06201 (2018) - [i18]Matthew Guzdial, Joshua Reno, Jonathan Chen, Gillian Smith, Mark O. Riedl:
Explainable PCGML via Game Design Patterns. CoRR abs/1809.09419 (2018) - [i17]Matthew Guzdial, Nicholas Liao, Mark O. Riedl:
Co-Creative Level Design via Machine Learning. CoRR abs/1809.09420 (2018) - [i16]Matthew Guzdial, Shukan Shah, Mark O. Riedl:
Towards Automated Let's Play Commentary. CoRR abs/1809.09424 (2018) - [i15]Pradyumna Tambwekar, Murtaza Dhuliawala, Animesh Mehta, Lara J. Martin, Brent Harrison, Mark O. Riedl:
Controllable Neural Story Generation via Reinforcement Learning. CoRR abs/1809.10736 (2018) - [i14]Prithviraj Ammanabrolu, Mark O. Riedl:
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning. CoRR abs/1812.01628 (2018) - 2017
- [j16]Samantha Krening, Brent Harrison, Karen M. Feigh, Charles Lee Isbell Jr., Mark O. Riedl, Andrea Thomaz:
Learning From Explanations Using Sentiment and Advice in RL. IEEE Trans. Cogn. Dev. Syst. 9(1): 44-55 (2017) - [c100]Matthew Guzdial, Jonathan Chen, Shao-Yu Chen, Mark O. Riedl:
A General Level Design Editor for Co-Creative Level Design. AIIDE Workshops 2017 - [c99]Brent Harrison, Christopher Purdy, Mark O. Riedl:
Toward Automated Story Generation with Markov Chain Monte Carlo Methods and Deep Neural Networks. AIIDE Workshops 2017 - [c98]Kristin Siu, Matthew Guzdial, Mark O. Riedl:
Evaluating singleplayer and multiplayer in human computation games. FDG 2017: 34:1-34:10 - [c97]Kristin Siu, Alexander Zook, Mark O. Riedl:
A framework for exploring and evaluating mechanics in human computation games. FDG 2017: 38:1-38:4 - [c96]Nicholas Liao, Matthew Guzdial, Mark O. Riedl:
Deep convolutional player modeling on log and level data. FDG 2017: 41:1-41:4 - [c95]Matthew Guzdial, Boyang Li, Mark O. Riedl:
Game Engine Learning from Video. IJCAI 2017: 3707-3713 - [i13]Brent Harrison, Upol Ehsan, Mark O. Riedl:
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations. CoRR abs/1702.07826 (2017) - [i12]Kristin Siu, Matthew Guzdial, Mark O. Riedl:
Evaluating Singleplayer and Multiplayer in Human Computation Games. CoRR abs/1703.00818 (2017) - [i11]Mark O. Riedl, Brent Harrison:
Enter the Matrix: A Virtual World Approach to Safely Interruptable Autonomous Systems. CoRR abs/1703.10284 (2017) - [i10]Lara J. Martin, Prithviraj Ammanabrolu, William Hancock, Shruti Singh, Brent Harrison, Mark O. Riedl:
Event Representations for Automated Story Generation with Deep Neural Nets. CoRR abs/1706.01331 (2017) - [i9]Kristin Siu, Alexander Zook, Mark O. Riedl:
A Framework for Exploring and Evaluating Mechanics in Human Computation Games. CoRR abs/1706.03311 (2017) - [i8]Brent Harrison, Upol Ehsan, Mark O. Riedl:
Guiding Reinforcement Learning Exploration Using Natural Language. CoRR abs/1707.08616 (2017) - [i7]Zhiyu Lin, Brent Harrison, Aaron Keech, Mark O. Riedl:
Explore, Exploit or Listen: Combining Human Feedback and Policy Model to Speed up Deep Reinforcement Learning in 3D Worlds. CoRR abs/1709.03969 (2017) - 2016
- [c94]Brent Harrison, Mark O. Riedl:
Towards Learning From Stories: An Approach to Interactive Machine Learning. AAAI Workshop: Symbiotic Cognitive Systems 2016 - [c93]Mark O. Riedl, Brent Harrison:
Using Stories to Teach Human Values to Artificial Agents. AAAI Workshop: AI, Ethics, and Society 2016 - [c92]Matthew Guzdial, Mark O. Riedl:
Game Level Generation from Gameplay Videos. AIIDE 2016: 44-50 - [c91]Brent Harrison, Mark O. Riedl:
Learning From Stories: Using Crowdsourced Narratives to Train Virtual Agents. AIIDE 2016: 183-189 - [c90]Sasha Azad, Carl Saldanha, Cheng-Hann Gan, Mark O. Riedl:
Procedural Level Generation for Augmented Reality Games. AIIDE 2016: 247-250 - [c89]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- - [c88]Kristin Siu, Mark O. Riedl:
Reward Systems in Human Computation Games. CHI PLAY 2016: 266-275 - [c87]Matthew Guzdial, Mark O. Riedl:
Learning to Blend Computer Game Levels. ICCC 2016: 354-362 - [c86]Lara J. Martin, Brent Harrison, Mark O. Riedl:
Improvisational Computational Storytelling in Open Worlds. ICIDS 2016: 73-84 - [c85]Christopher Purdy, Mark O. Riedl:
Reading Between the Lines: Using Plot Graphs to Draw Inferences from Stories. ICIDS 2016: 197-208 - [i6]Mark O. Riedl:
Computational Narrative Intelligence: A Human-Centered Goal for Artificial Intelligence. CoRR abs/1602.06484 (2016) - [i5]Matthew Guzdial, Mark O. Riedl:
Toward Game Level Generation from Gameplay Videos. CoRR abs/1602.07721 (2016) - [i4]Matthew Guzdial, Mark O. Riedl:
Learning to Blend Computer Game Levels. CoRR abs/1603.02738 (2016) - 2015
- [j15]Alexander Zook, Mark O. Riedl:
Temporal Game Challenge Tailoring. IEEE Trans. Comput. Intell. AI Games 7(4): 336-346 (2015) - [c84]Boyang Li, Mark O. Riedl:
Scheherazade: Crowd-Powered Interactive Narrative Generation. AAAI 2015: 4305-4306 - [c83]Hong Yu, Mark O. Riedl:
Optimizing Players' Expected Enjoyment in Interactive Stories. AIIDE 2015: 100-107 - [c82]Sauvik Das, Alexander Zook, Mark O. Riedl:
Examining Game World Topology Personalization. CHI 2015: 3731-3734 - [c81]Matthew Guzdial, Brent Harrison, Boyang Li, Mark O. Riedl:
Crowdsourcing Open Interactive Narrative. FDG 2015 - [c80]Alexander Zook, Brent Harrison, Mark O. Riedl:
Monte-Carlo Tree Search for Simulation-based Play Strategy Analysis. FDG 2015 - [c79]Scott L. Robertson, Rob Solomon, Mark O. Riedl, Theresa Wicklin Gillespie, Toni Chociemski, Viraj Master, Arun Mohan:
The Visual Design and Implementation of an Embodied Conversational Agent in a Shared Decision-Making Context (eCoach). HCI (24) 2015: 427-437 - [i3]Mark O. Riedl:
A Python Engine for Teaching Artificial Intelligence in Games. CoRR abs/1511.07714 (2015) - 2014
- [j14]Hong Yu, Mark O. Riedl:
Personalized Interactive Narratives via Sequential Recommendation of Plot Points. IEEE Trans. Comput. Intell. AI Games 6(2): 174-187 (2014) - [c78]Alexander Zook, Mark O. Riedl:
Automatic Game Design via Mechanic Generation. AAAI 2014: 530-537 - [c77]Brian O'Neill, Mark O. Riedl:
Dramatis: A Computational Model of Suspense. AAAI 2014: 944-950 - [c76]Brian O'Neill, Mark O. Riedl:
Applying Qualitative Research Methods to Narrative Knowledge Engineering. CMN 2014: 139-153 - [c75]Kristin Siu, Alexander Zook, Mark O. Riedl:
Collaboration versus competition: Design and evaluation of mechanics for games with a purpose. FDG 2014 - [c74]Alexander Zook, Eric Fruchter, Mark O. Riedl:
Automatic playtesting for game parameter tuning via active learning. FDG 2014 - [c73]Spencer Frazier, Mark O. Riedl:
Persistent and Pervasive Real-World Sensing Using Games. HCOMP 2014: 16-17 - [c72]Boyang Li, Mohini Thakkar, Yijie Wang, Mark O. Riedl:
Storytelling with Adjustable Narrator Styles and Sentiments. ICIDS 2014: 1-12 - [c71]Boyang Li, Mohini Thakkar, Yijie Wang, Mark O. Riedl:
From Data to Storytelling Agents. IVA 2014: 275-278 - [i2]Mark Owen Riedl, Robert Michael Young:
Narrative Planning: Balancing Plot and Character. CoRR abs/1401.3841 (2014) - [i1]Mark O. Riedl:
The Lovelace 2.0 Test of Artificial Creativity and Intelligence. CoRR abs/1410.6142 (2014) - 2013
- [j13]Mark O. Riedl, Vadim Bulitko:
Interactive Narrative: An Intelligent Systems Approach. AI Mag. 34(1): 67-77 (2013) - [j12]Mark O. Riedl, Gita Reese Sukthankar, Arnav Jhala, Jichen Zhu, Santi Ontañón Villar, Michael Buro, David Churchill:
The Eighth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. AI Mag. 34(1): 87-89 (2013) - [c70]Boyang Li, Stephen Lee-Urban, George Johnston, Mark O. Riedl:
Story Generation with Crowdsourced Plot Graphs. AAAI 2013: 598-604 - [c69]Hong Yu, Mark Owen Riedl:
Data-Driven Personalized Drama Management. AIIDE 2013 - [c68]Nicholas M. Davis, Alexander Zook, Brian O'Neill, Brandon Headrick, Mark O. Riedl, Ashton Grosz, Michael Nitsche:
Creativity support for novice digital filmmaking. CHI 2013: 651-660 - [c67]Mark O. Riedl, Alexander Zook:
AI for game production. CIG 2013: 1-8 - [c66]Boyang Li, Stephen Lee-Urban, Mark O. Riedl:
Crowdsourcing interactive fiction games. FDG 2013: 431-432 - [c65]Hong Yu, Mark O. Riedl:
Toward personalized guidance in interactive narratives. FDG 2013: 457-458 - 2012
- [j11]Vadim Bulitko, Mark O. Riedl, Arnav Jhala, Michael Buro, Nathan R. Sturtevant:
Recap of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE). AI Mag. 33(1): 51-54 (2012) - [c64]Mark O. Riedl, Vadim Bulitko:
Interactive Narrative: A Novel Application of Artificial Intelligence for Computer Games. AAAI 2012: 2160-2165 - [c63]Hong Yu, Mark O. Riedl:
A sequential recommendation approach for interactive personalized story generation. AAMAS 2012: 71-78 - [c62]Mark O. Riedl, Gita Sukthankar:
Preface. AIIDE 2012 - [c61]Alexander Zook, Mark O. Riedl:
A Temporal Data-Driven Player Model for Dynamic Difficulty Adjustment. AIIDE 2012 - [c60]Alexander Zook, Stephen Lee-Urban, Michael R. Drinkwater, Mark O. Riedl:
Skill-based Mission Generation: A Data-driven Temporal Player Modeling Approach. PCG@FDG 2012: 6:1-6:8 - [c59]Alexander Zook, Stephen Lee-Urban, Mark O. Riedl, Heather K. Holden, Robert A. Sottilare, Keith W. Brawner:
Automated scenario generation: toward tailored and optimized military training in virtual environments. FDG 2012: 164-171 - [c58]Boyang Li, Darren Scott Appling, Stephen Lee-Urban, Mark O. Riedl:
Learning Sociocultural Knowledge via Crowdsourced Examples. HCOMP@AAAI 2012 - [c57]Boyang Li, Alexander Zook, Nicholas M. Davis, Mark O. Riedl:
Goal-Driven Conceptual Blending: A Computational Approach for Creativity. ICCC 2012: 9-16 - [c56]Boyang Li, Stephen Lee-Urban, Mark O. Riedl:
Toward Autonomous Crowd-Powered Creation of Interactive Narratives. INT@AIIDE 2012 - [e4]Mark O. Riedl, Gita Sukthankar:
Proceedings of the Eighth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE-12, Stanford, California, USA, October 8-12, 2012. The AAAI Press 2012 [contents] - 2011
- [j10]Fatima A. Boujarwah, Mark O. Riedl, Gregory D. Abowd, Rosa I. Arriaga:
REACT: intelligent authoring of social skills instructional modules for adolescents with high-functioning Autism. ACM SIGACCESS Access. Comput. 99: 13-23 (2011) - [c55]Andrew Peter Macvean, Sanjeet Hajarnis, Brandon Headrick, Aziel Ferguson, Chinmay Barve, Devika Karnik, Mark O. Riedl:
WeQuest: scalable alternate reality games through end-user content authoring. Advances in Computer Entertainment Technology 2011: 22 - [c54]Brian O'Neill, Mark O. Riedl:
Toward a Computational Framework of Suspense and Dramatic Arc. ACII (1) 2011: 246-255 - [c53]Boyang Li, Mark O. Riedl:
A Phone That Cures Your Flu: Generating Imaginary Gadgets in Fictions with Planning and Analogies. Intelligent Narrative Technologies 2011 - [c52]Mark O. Riedl, Boyang Li, Hua Ai, Ashwin Ram:
Robust and Authorable Multiplayer Storytelling Experiences. AIIDE 2011 - [c51]Boyang Li, Mark O. Riedl:
Creative gadget design in fictions: generalized planning in analogical spaces. Creativity & Cognition 2011: 41-50 - [c50]Alexander Zook, Brian Magerko, Mark O. Riedl:
Formally modeling pretend object play. Creativity & Cognition 2011: 147-156 - [c49]Nicholas M. Davis, Boyang Li, Brian O'Neill, Mark O. Riedl, Michael Nitsche:
Distributed creative cognition in digital filmmaking. Creativity & Cognition 2011: 207-216 - [c48]Ken Hartsook, Alexander Zook, Sauvik Das, Mark O. Riedl:
Toward supporting stories with procedurally generated game worlds. CIG 2011: 297-304 - [c47]Andrew Peter Macvean, Mark O. Riedl:
An enjoyment metric for the evaluation of alternate reality games. FDG 2011: 277-279 - [c46]Sanjeet Hajarnis, Chinmay Barve, Devika Karnik, Mark O. Riedl:
Supporting End-User Authoring of Alternate Reality Games with Cross-Location Compatibility. FLAIRS 2011 - [c45]James Michael Niehaus, Boyang Li, Mark O. Riedl:
Automated Scenario Adaptation in Support of Intelligent Tutoring Systems. FLAIRS 2011 - [c44]Sanjeet Hajarnis, Christina Leber, Hua Ai, Mark O. Riedl, Ashwin Ram:
A Case Base Planning Approach for Dialogue Generation in Digital Movie Design. ICCBR 2011: 452-466 - [c43]Alexander Zook, Mark O. Riedl, Brian Magerko:
Understanding Human Creativity for Computational Play. ICCC 2011: 42-47 - [c42]Brian O'Neill, Mark O. Riedl:
Simulating the Everyday Creativity of Readers. ICCC 2011: 153-158 - [c41]Sanjeet Hajarnis, Brandon Headrick, Aziel Ferguson, Mark O. Riedl:
Scaling Mobile Alternate Reality Games with Geo-location Translation. ICIDS 2011: 278-283 - [c40]Andrew Peter Macvean, Mark O. Riedl:
Evaluating enjoyment within alternate reality games. SIGGRAPH Game Papers 2011: 1:1-1:6 - [c39]Andrew Peter Macvean, Mark O. Riedl:
Evaluating enjoyment within alternate reality games. Sandbox@SIGGRAPH 2011: 5-10 - [e3]Vadim Bulitko, Mark O. Riedl:
Proceedings of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2011, October 10-14, 2011, Stanford, California, USA. The AAAI Press 2011 [contents] - 2010
- [j9]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, Leslie Pack Kaelbling, Kristian Kersting, Maithilee Kunda, Luís C. Lamb, Bhaskara Marthi, Keith McGreggor, Vivi Nastase, Gregory M. Provan, Anita Raja, Ashwin Ram, Mark O. Riedl, Stuart Russell, Ashish Sabharwal, Jan-Georg Smaus, Gita Sukthankar, Karl Tuyls, Ron van der Meyden, Alon Y. Halevy, Lilyana Mihalkova, Sriraam Natarajan:
Reports of the AAAI 2010 Conference Workshops. AI Mag. 31(4): 95-108 (2010) - [j8]Mark O. Riedl:
Scalable personalization of interactive experiences through creative automation. Comput. Entertain. 8(4): 26:1-26:3 (2010) - [j7]Mark O. Riedl, Robert Michael Young:
Narrative Planning: Balancing Plot and Character. J. Artif. Intell. Res. 39: 217-268 (2010) - [j6]Mark O. Riedl:
Story Planning: Creativity Through Exploration, Retrieval, and Analogical Transformation. Minds Mach. 20(4): 589-614 (2010) - [c38]Boyang Li, Mark O. Riedl:
Creating Customized Game Experiences by Leveraging Human Creative Effort: A Planning Approach. AGS 2010: 99-116 - [c37]Chinmay Barve, Sanjeet Hajarnis, Devika Karnik, Mark O. Riedl:
WeQuest: A Mobile Alternate Reality Gaming Platform and Intelligent End-User Authoring Tool. AIIDE 2010 - [c36]Boyang Li, Mark O. Riedl:
An Offline Planning Approach to Game Plotline Adaptation. AIIDE 2010 - [c35]Mark O. Riedl:
A comparison of interactive narrative system approaches using human improvisational actors. FDG 2010: 16:1-16:8 - [e2]Ruth Aylett, Mei Yii Lim, Sandy Louchart, Paolo Petta, Mark O. Riedl:
Interactive Storytelling - Third Joint Conference on Interactive Digital Storytelling, ICIDS 2010, Edinburgh, UK, November 1-3, 2010. Proceedings. Lecture Notes in Computer Science 6432, Springer 2010, ISBN 978-3-642-16637-2 [contents]
2000 – 2009
- 2009
- [c34]Mark O. Riedl, Rosa I. Arriaga, Fatima A. Boujarwah, Hwajung Hong, Jackie Isbell, Juane Heflin:
Graphical Social Scenarios: Toward Intervention and Authoring for Adolescents with High Functioning Autism. AAAI Fall Symposium: Virtual Healthcare Interaction 2009 - [c33]D. Scott Appling, Mark O. Riedl:
Representations for Learning to Summarize Plots. AAAI Spring Symposium: Intelligent Narrative Technologies II 2009: 1-4 - [c32]Mark O. Riedl:
Incorporating Authorial Intent into Generative Narrative Systems. AAAI Spring Symposium: Intelligent Narrative Technologies II 2009: 91-94 - [c31]James Michael Niehaus, Mark O. Riedl:
Toward Scenario Adaptation for Learning. AIED 2009: 686-688 - [c30]Mark O. Riedl, Carlos León:
Generating Story Analogues. AIIDE 2009 - [c29]Brian Magerko, Waleed Manzoul, Mark O. Riedl, Allan Baumer, Daniel Fuller, Kurt Luther, Celia Pearce:
An empirical study of cognition and theatrical improvisation. Creativity & Cognition 2009: 117-126 - [c28]Brian O'Neill, Mark O. Riedl:
Supporting human creative story authoring with asynthetic audience. Creativity & Cognition 2009: 399-400 - [c27]Brian O'Neill, Mark O. Riedl, Michael Nitsche:
Towards intelligent authoring tools for machinima creation. CHI Extended Abstracts 2009: 4639-4644 - [c26]David L. Roberts, Mark O. Riedl, Charles L. Isbell Jr.:
Beyond Adversarial: The Case for Game AI as Storytelling. DiGRA Conference 2009 - [c25]Adam Fitzgerald, Gurlal Kahlon, Mark O. Riedl:
A Computational Model of Emotional Response to Stories. ICIDS 2009: 312-315 - 2008
- [j5]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, Tim Oates, Mark O. Riedl, Goran Trajkovski, Walt Truszkowski, N. Serdar Uckun:
AAAI Fall Symposium Reports. AI Mag. 29(1): 99-104 (2008) - [c24]Mei Si, Stacy C. Marsella, Mark O. Riedl:
Interactive Drama Authoring with Plot and Character: An Intelligent System that Fosters Creativity. AAAI Spring Symposium: Creative Intelligent Systems 2008: 75-81 - [c23]Mei Si, Stacy C. Marsella, Mark O. Riedl:
Integrating Story-Centric and Character-Centric Processes for Authoring Interactive Drama. AIIDE 2008 - [c22]Mark O. Riedl, Neha Sugandh:
Story Planning with Vignettes: Toward Overcoming the Content Production Bottleneck. ICIDS 2008: 168-179 - [c21]David L. Roberts, Charles Lee Isbell Jr., Mark O. Riedl, Ian Bogost, Merrick L. Furst:
On the Use of Computational Models of Influence for Managing Interactive Virtual Experiences. ICIDS 2008: 268-272 - [c20]Mark O. Riedl, Jonathan P. Rowe, David K. Elson:
Toward intelligent support of authoring machinima media content: story and visualization. INTETAIN 2008: 4 - 2007
- [c19]Brian S. Magerko, Mark O. Riedl:
Preface. AAAI Fall Symposium: Intelligent Narrative Technologies 2007 - [c18]Mark O. Riedl, Isabel Machado Alexandre, Brian Magerko, Ana Paiva, H. Chad Lane:
Narrative Learning Environments. AIED 2007: 720 - [c17]David K. Elson, Mark O. Riedl:
A Lightweight Intelligent Virtual Cinematography System for Machinima Production. AIIDE 2007: 8-13 - [e1]Brian S. Magerko, Mark O. Riedl:
Intelligent Narrative Technologies, Papers from the 2007 AAAI Fall Symposium, Arlington, Virginia, USA, November 9-11, 2007. AAAI Technical Report FS-07-05, AAAI Press 2007 [contents] - 2006
- [j4]Mark O. Riedl, Robert Michael Young:
From Linear Story Generation to Branching Story Graphs. IEEE Computer Graphics and Applications 26(3): 23-31 (2006) - [j3]Mark O. Riedl, Robert Michael Young:
Story Planning as Exploratory Creativity: Techniques for Expanding the Narrative Search Space. New Gener. Comput. 24(3): 303-323 (2006) - [c16]Mark O. Riedl, Andrew Stern, Don M. Dini:
Mixing Story and Simulation in Interactive Narrative. AIIDE 2006: 149-150 - [c15]Mark O. Riedl, Andrew Stern:
Believable Agents and Intelligent Story Adaptation for Interactive Storytelling. TIDSE 2006: 1-12 - [c14]Mark O. Riedl, Andrew Stern:
Failing Believably: Toward Drama Management with Autonomous Actors in Interactive Narratives. TIDSE 2006: 195-206 - 2005
- [c13]Robert Michael Young, Mark O. Riedl:
Integrating plan-based behavior generation with game environments. Advances in Computer Entertainment Technology 2005: 370 - [c12]Mark O. Riedl, Robert Michael Young:
From Linear Story Generation to Branching Story Graphs. AIIDE 2005: 111-116 - [c11]Michael van Lent, Mark O. Riedl, Paul Carpenter, Ryan McAlinden, Paul Brobst:
Increasing Replayability with Deliberative and Reactive Planning. AIIDE 2005: 135-140 - [c10]Mark O. Riedl, Robert Michael Young:
Open-World Planning for Story Generation. IJCAI 2005: 1719-1720 - [c9]Mark O. Riedl, Robert Michael Young:
An Objective Character Believability Evaluation Procedure for Multi-agent Story Generation Systems. IVA 2005: 278-291 - 2004
- [j2]R. Michael Young, Mark O. Riedl, Mark Branly, Arnav Jhala, R. J. Martin, C. J. Saretto:
An architecture for integrating plan-based behavior generation with interactive game environments. J. Game Dev. 1(1): 1-29 (2004) - [c8]Mark O. Riedl, Robert Michael Young:
An Intent-Driven Planner for Multi-Agent Story Generation. AAMAS 2004: 186-193 - 2003
- [c7]Mark O. Riedl, Robert St. Amant:
Social navigation: modeling, simulation, and experimentation. AAMAS 2003: 361-368 - [c6]Mark O. Riedl, C. J. Saretto, Robert Michael Young:
Managing interaction between users and agents in a multi-agent storytelling environment. AAMAS 2003: 741-748 - [c5]Robert Michael Young, Mark O. Riedl:
Towards an architecture for intelligent control of narrative in interactive virtual worlds . IUI 2003: 310-312 - [c4]Mark O. Riedl, Robert Michael Young:
Character-Focused Narrative Generation for Execution in Virtual Worlds. International Conference on Virtual Storytelling 2003: 47-56 - 2002
- [c3]Mark O. Riedl, Robert St. Amant:
Toward automated exploration of interactive systems. IUI 2002: 135-142 - 2001
- [j1]Robert St. Amant, Mark O. Riedl:
A perception/action substrate for cognitive modeling in HCI. Int. J. Hum. Comput. Stud. 55(1): 15-39 (2001) - [c2]Mark O. Riedl:
A computational model and classification framework for social navigation. IUI 2001: 137-144 - [c1]Robert St. Amant, Christopher G. Healey, Mark O. Riedl, Sarat Kocherlakota, David A. Pegram, Mika Torhola:
Intelligent visualization in a planning simulation. IUI 2001: 153-159
Coauthor Index
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