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ORCIDBrent E. Harrison
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- affiliation: University of Kentucky, Lexington, KY, USA
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2020 – today
- 2024
[j6]Yu Zhao
, Brent Harrison, Tingting Yu:
DinoDroid: Testing Android Apps Using Deep Q-Networks. ACM Trans. Softw. Eng. Methodol. 33(5): 122:1-122:24 (2024)- [c50]Kathleen Timmerman, Judy Goldsmith, Brent Harrison, Zongming Fei:
Designing Inclusive AI Certifications. AAAI Spring Symposia 2024: 536-543 - [i23]Brent Harrison, Jason Necaise, Andrew Projansky, James D. Whitfield:
A Sierpinski Triangle Data Structure for Efficient Array Value Update and Prefix Sum Calculation. CoRR abs/2403.03990 (2024) - 2023
- [j5]William Bailey, Judy Goldsmith, Brent Harrison, Siyao Xu:
Fast approximate bi-objective Pareto sets with quality bounds. Auton. Agents Multi Agent Syst. 37(1): 5 (2023) - [c49]Elinor Rubin-McGregor, Brent Harrison, Cory Siler:
Enhancing Character Depth through Personality Exceptions for Narrative Planners. AIIDE 2023: 136-144 - [c48]Anton Vinogradov, Brent Harrison:
Detecting Player Preference Shifts in an Experience Managed Environment. ICIDS (1) 2023: 517-531 - 2022
- [c47]Anton Vinogradov, Brent Harrison:
Using Multi-Armed Bandits to Dynamically Update Player Models in an Experience Managed Environment. AIIDE 2022: 207-214 - [c46]Vincent Davis, Brent Harrison:
Learning a Scalable Algorithm for Improving Betweenness in the Lightning Network. BCCA 2022: 119-126 - [c45]Kshitija Taywade, Brent Harrison, Adib Bagh, Judy Goldsmith:
Modelling Cournot Games as Multi-agent Multi-armed Bandits. FLAIRS 2022 - [e1]Brent Harrison:
Joint Proceedings of the AIIDE 2021 Workshops co-located with 17th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2021)(AAAI 2021), Virtual Event, Lexington, KY, USA, October 11-12, 2021. CEUR Workshop Proceedings 3217, CEUR-WS.org 2022 [contents] - [i22]Kshitija Taywade, Brent Harrison, Judy Goldsmith:
Using Non-Stationary Bandits for Learning in Repeated Cournot Games with Non-Stationary Demand. CoRR abs/2201.00486 (2022) - [i21]Chengxi Li, Brent Harrison:
StyleM: Stylized Metrics for Image Captioning Built with Contrastive N-grams. CoRR abs/2201.00975 (2022) - [i20]Kshitija Taywade, Brent Harrison, Adib Bagh:
Modelling Cournot Games as Multi-agent Multi-armed Bandits. CoRR abs/2201.01182 (2022) - [i19]Yu Zhao, Brent Harrison, Tingting Yu:
DinoDroid: Testing Android Apps Using Deep Q-Networks. CoRR abs/2210.06307 (2022) - [i18]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) - 2021
- [c44]Kshitija Taywade, Judy Goldsmith, Brent Harrison:
Multi-agent Reinforcement Learning for Decentralized Stable Matching. ADT 2021: 375-389 - [c43]Chengxi Li, Brent Harrison:
3M: Multi-style image caption generation using Multi-modality features under Multi-UPDOWN model. FLAIRS 2021 - [c42]Tasmia Tasrin, Md Sultan Al Nahian, Brent Harrison:
Visual Question Answering Using Semantic Information from Image Descriptions. FLAIRS 2021 - [c41]Tasmia Tasrin, Md Sultan Al Nahian, Habarakadage Perera, Brent Harrison:
Influencing Reinforcement Learning through Natural Language Guidance. FLAIRS 2021 - [c40]Anton Vinogradov, Andrew Miles Byrd, Brent Harrison:
Mistake Captioning: A Machine Learning Approach for Detecting Mistakes and Generating Instructive Feedback. RANLP 2021: 1455-1462 - [i17]Chengxi Li, Brent Harrison:
3M: Multi-style image caption generation using Multi-modality features under Multi-UPDOWN model. CoRR abs/2103.11186 (2021) - [i16]Tasmia Tasrin, Md Sultan Al Nahian, Habarakadage Perera, Brent Harrison:
Influencing Reinforcement Learning through Natural Language Guidance. CoRR abs/2104.01506 (2021) - [i15]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) - [i14]Chengxi Li, Brent Harrison:
A Self-Explainable Stylish Image Captioning Framework via Multi-References. CoRR abs/2110.10704 (2021) - 2020
- [c39]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 - [c38]Kshitija Taywade, Judy Goldsmith, Brent Harrison:
Decentralized Marriage Models. FLAIRS 2020: 213-216 - [c37]Justus Robertson, Brent E. Harrison, Arnav Jhala:
Interactive Summarization for Data Filtering and Triage. FLAIRS 2020: 252-257 - [c36]Dave Mobley, Judy Goldsmith, Brent Harrison:
Discovering Hierarchies for Reinforcement Learning Using Data Mining. FLAIRS 2020: 392-395 - [c35]Nathaniel Hudson, Hana Khamfroush, Brent Harrison, Adam Craig:
Smart Advertisement for Maximal Clicks in Online Social Networks Without User Data. SMARTCOMP 2020: 172-179 - [i13]Tasmia Tasrin, Md Sultan Al Nahian, Brent Harrison:
Visual Question Answering Using Semantic Information from Image Descriptions. CoRR abs/2004.10966 (2020) - [i12]Kshitija Taywade, Judy Goldsmith, Brent Harrison:
Reinforcement Learning for Decentralized Stable Matching. CoRR abs/2005.01117 (2020)
2010 – 2019
- 2019
- [c34]Mark O. Riedl, Brent Harrison:
Enter the Matrix: Safely Interruptible Autonomous Systems via Virtualization. SafeAI@AAAI 2019 - [c33]Chengxi Li, Sagar Gandhi, Brent Harrison:
End-to-end let's play commentary generation using multi-modal video representations. FDG 2019: 76:1-76:7 - [c32]Sagar Gandhi, Brent Harrison:
Guided open story generation using probabilistic graphical models. FDG 2019: 79:1-79:7 - [c31]Md Sultan Al Nahian, Tasmia Tasrin, Sagar Gandhi, Ryan Gaines, Brent Harrison:
A Hierarchical Approach for Visual Storytelling Using Image Description. ICIDS 2019: 304-317 - [c30]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 - [c29]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 - [i11]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) - [i10]Alexander Zook, Brent Harrison, Mark O. Riedl:
Monte-Carlo Tree Search for Simulation-based Strategy Analysis. CoRR abs/1908.01423 (2019) - [i9]Md Sultan Al Nahian, Tasmia Tasrin, Sagar Gandhi, Ryan Gaines, Brent Harrison:
A Hierarchical Approach for Visual Storytelling Using Image Description. CoRR abs/1909.12401 (2019) - [i8]Nathaniel Hudson, Hana Khamfroush, Brent Harrison, Adam Craig:
Click Maximization in Online Social Networks Using Optimal Choice of Targeted Interests. CoRR abs/1911.02061 (2019) - [i7]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
- [c28]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 - [c27]Upol Ehsan, Brent Harrison, Larry Chan, Mark O. Riedl:
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations. AIES 2018: 81-87 - [c26]Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, Mark O. Riedl:
Learning to Generate Natural Language Rationales for Game Playing Agents. AIIDE Workshops 2018 - [c25]Brent Harrison, Upol Ehsan, Mark O. Riedl:
Guiding Reinforcement Learning Exploration Using Natural Language. AAMAS 2018: 1956-1958 - [c24]Kshitija Taywade, Judy Goldsmith, Brent Harrison:
Decentralized Multiagent Approach for Hedonic Games. EUMAS 2018: 220-232 - [i6]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) - 2017
- [j4]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) - [c23]Brent Harrison, Christopher Purdy, Mark O. Riedl:
Toward Automated Story Generation with Markov Chain Monte Carlo Methods and Deep Neural Networks. AIIDE Workshops 2017 - [i5]Brent Harrison, Upol Ehsan, Mark O. Riedl:
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations. CoRR abs/1702.07826 (2017) - [i4]Mark O. Riedl, Brent Harrison:
Enter the Matrix: A Virtual World Approach to Safely Interruptable Autonomous Systems. CoRR abs/1703.10284 (2017) - [i3]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) - [i2]Brent Harrison, Upol Ehsan, Mark O. Riedl:
Guiding Reinforcement Learning Exploration Using Natural Language. CoRR abs/1707.08616 (2017) - [i1]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
- [c22]Brent Harrison, Mark O. Riedl:
Towards Learning From Stories: An Approach to Interactive Machine Learning. AAAI Workshop: Symbiotic Cognitive Systems 2016 - [c21]Mark O. Riedl, Brent Harrison:
Using Stories to Teach Human Values to Artificial Agents. AAAI Workshop: AI, Ethics, and Society 2016 - [c20]Brent Harrison, Mark O. Riedl:
Learning From Stories: Using Crowdsourced Narratives to Train Virtual Agents. AIIDE 2016: 183-189 - [c19]Samantha Krening, Brent Harrison, Karen M. Feigh, Charles L. Isbell Jr., Andrea Thomaz:
Object-Focused Advice in Reinforcement Learning. AAMAS 2016: 1447-1448 - [c18]Himanshu Sahni, Brent Harrison, Kaushik Subramanian, Thomas Cederborg, Charles L. Isbell Jr., Andrea Thomaz:
Policy Shaping in Domains with Multiple Optimal Policies: (Extended Abstract). AAMAS 2016: 1455-1456 - [c17]Lara J. Martin, Brent Harrison, Mark O. Riedl:
Improvisational Computational Storytelling in Open Worlds. ICIDS 2016: 73-84 - 2015
- [j3]Brent E. Harrison, David L. Roberts:
An Analytic and Psychometric Evaluation of Dynamic Game Adaption for Increasing Session-Level Retention in Casual Games. IEEE Trans. Comput. Intell. AI Games 7(3): 207-219 (2015) - [j2]Brent E. Harrison, Stephen G. Ware, Matthew William Fendt, David L. Roberts:
A Survey and Analysis of Techniques for Player Behavior Prediction in Massively Multiplayer Online Role-Playing Games. IEEE Trans. Emerg. Top. Comput. 3(2): 260-274 (2015) - [c16]Matthew Guzdial, Brent Harrison, Boyang Li, Mark O. Riedl:
Crowdsourcing Open Interactive Narrative. FDG 2015 - [c15]Alexander Zook, Brent Harrison, Mark O. Riedl:
Monte-Carlo Tree Search for Simulation-based Play Strategy Analysis. FDG 2015 - 2014
- [j1]Stephen G. Ware, Robert Michael Young, Brent E. Harrison, David L. Roberts:
A Computational Model of Plan-Based Narrative Conflict at the Fabula Level. IEEE Trans. Comput. Intell. AI Games 6(3): 271-288 (2014) - [c14]Rogelio Enrique Cardona-Rivera, Justus Robertson, Stephen G. Ware, Brent E. Harrison, David L. Roberts, Robert Michael Young:
Foreseeing Meaningful Choices. AIIDE 2014 - [c13]Brent Edward Harrison, David L. Roberts:
Analytics-Driven Dynamic Game Adaption for Player Retention in a 2-Dimensional Adventure Game. AIIDE 2014 - [c12]Pu Yang, Brent E. Harrison, David L. Roberts:
Identifying patterns in combat that are predictive of success in MOBA games. FDG 2014 - [c11]Arpan Chakraborty, Brent E. Harrison, Pu Yang, David L. Roberts, Robert St. Amant:
Exploring key-level analytics for computational modeling of typing behavior. HotSoS 2014: 34 - 2013
- [c10]Brent Edward Harrison:
Creating Model-Based Adaptive Environments Using Game-Specific and Game-Independent Analytics. AAAI 2013: 1666-1667 - [c9]Brent E. Harrison, David L. Roberts:
Analytics-driven dynamic game adaption for player retention in Scrabble. CIG 2013: 1-8 - 2012
- [c8]Titus Barik, Brent E. Harrison, David L. Roberts, Xuxian Jiang:
Spatial Game Signatures for Bot Detection in Social Games. AIIDE 2012 - [c7]Brent E. Harrison, David L. Roberts:
When Players Quit (Playing Scrabble). AIIDE 2012 - [c6]Stephen G. Ware, Robert Michael Young, Brent E. Harrison, David L. Roberts:
Four Quantitative Metrics Describing Narrative Conflict. ICIDS 2012: 18-29 - [c5]Matthew William Fendt, Brent E. Harrison, Stephen G. Ware, Rogelio Cardona-Rivera, David L. Roberts:
Achieving the Illusion of Agency. ICIDS 2012: 114-125 - 2011
- [c4]Stephen G. Ware, Brent E. Harrison, Robert Michael Young, David L. Roberts:
Initial Results for Measuring Four Dimensions of Narrative Conflict. Intelligent Narrative Technologies 2011 - [c3]Brent E. Harrison, David L. Roberts:
Using sequential observations to model and predict player behavior. FDG 2011: 91-98 - [c2]Tatdow Pansombut, William Hendrix, Zekai Jacob Gao, Brent E. Harrison, Nagiza F. Samatova:
Biclustering-Driven Ensemble of Bayesian Belief Network Classifiers for Underdetermined Problems. IJCAI 2011: 1439-1445 - 2010
- [c1]Tatdow Pansombut, Brent E. Harrison, Dennis R. Bahler, Nagiza F. Samatova:
Improving the Performance of Bayesian Belief Network Classifiers via Decision Tree Based Feature Selection. IKE 2010: 49-56
Coauthor Index
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last updated on 2024-07-05 20:15 CEST by the dblp team
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