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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
- 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) - [c160]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 - [c159]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 - [c158]Kaige Xie, Mark O. Riedl:
Creating Suspenseful Stories: Iterative Planning with Large Language Models. EACL (1) 2024: 2391-2407 - [c157]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 - [c156]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 - [i100]Kaige Xie, Mark O. Riedl:
Creating Suspenseful Stories: Iterative Planning with Large Language Models. CoRR abs/2402.17119 (2024) - [i99]Deven R. Desai, Mark O. Riedl:
Between Copyright and Computer Science: The Law and Ethics of Generative AI. CoRR abs/2403.14653 (2024) - [i98]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) - [i97]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) - [i96]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) - [i95]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) - [i94]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) - 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) - [c155]Xiangyu Peng, Christopher Cui, Wei Zhou, Renee Jia, Mark O. Riedl:
Story Shaping: Teaching Agents Human-Like Behavior with Stories. AIIDE 2023: 326-336 - [c154]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 - [c153]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 - [c152]Christopher Cui, Xiangyu Peng, Mark O. Riedl:
Thespian: Multi-Character Text Role-Playing Game Agents. EXAG@AIIDE 2023 - [c151]Wei Zhou, Xiangyu Peng, Mark O. Riedl:
Dialogue Shaping: Empowering Agents through NPC Interaction. EXAG@AIIDE 2023 - [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]