Improving the Performance of Bayesian Belief Network Classifiers via Decision Tree Based Feature Selection. - Tatdow Pansombut; Brent E. Harrison; Dennis R. Bahler; Nagiza F. Samatova (IKE, 2010)

Initial Results for Measuring Four Dimensions of Narrative Conflict. - Stephen G. Ware; Brent E. Harrison; Robert Michael Young; David L. Roberts 001 (Intelligent Narrative Technologies, 2011)

Using sequential observations to model and predict player behavior. - Brent E. Harrison; David L. Roberts 001 (FDG, 2011)

Biclustering-Driven Ensemble of Bayesian Belief Network Classifiers for Underdetermined Problems. - Tatdow Pansombut; William Hendrix; Zekai Jacob Gao; Brent E. Harrison; Nagiza F. Samatova (IJCAI, 2011)

Spatial Game Signatures for Bot Detection in Social Games. - Titus Barik; Brent E. Harrison; David L. Roberts 001; Xuxian Jiang (AIIDE, 2012)

When Players Quit (Playing Scrabble). - Brent E. Harrison; David L. Roberts 001 (AIIDE, 2012)

Achieving the Illusion of Agency. - Matthew William Fendt; Brent E. Harrison; Stephen G. Ware; Rogelio Cardona-Rivera; David L. Roberts 001 (ICIDS, 2012)

Four Quantitative Metrics Describing Narrative Conflict. - Stephen G. Ware; Robert Michael Young; Brent E. Harrison; David L. Roberts 001 (ICIDS, 2012)

Creating Model-Based Adaptive Environments Using Game-Specific and Game-Independent Analytics. - Brent Edward Harrison (AAAI, 2013)

Analytics-driven dynamic game adaption for player retention in Scrabble. - Brent E. Harrison; David L. Roberts 001 (CIG, 2013)

Foreseeing Meaningful Choices. - Rogelio Enrique Cardona-Rivera; Justus Robertson; Stephen G. Ware; Brent E. Harrison; David L. Roberts 001; Robert Michael Young (AIIDE, 2014)

Analytics-Driven Dynamic Game Adaption for Player Retention in a 2-Dimensional Adventure Game. - Brent Edward Harrison; David L. Roberts 001 (AIIDE, 2014)

Identifying patterns in combat that are predictive of success in MOBA games. - Pu Yang; Brent E. Harrison; David L. Roberts 001 (FDG, 2014)

Exploring key-level analytics for computational modeling of typing behavior. - Arpan Chakraborty; Brent E. Harrison; Pu Yang; David L. Roberts 001; Robert St. Amant (HotSoS, 2014)

A Computational Model of Plan-Based Narrative Conflict at the Fabula Level. - Stephen G. Ware; Robert Michael Young; Brent E. Harrison; David L. Roberts 001 (IEEE Trans. Comput. Intell. AI Games, 2014)

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

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

An Analytic and Psychometric Evaluation of Dynamic Game Adaption for Increasing Session-Level Retention in Casual Games. - Brent E. Harrison; David L. Roberts 001 (IEEE Trans. Comput. Intell. AI Games, 2015)

A Survey and Analysis of Techniques for Player Behavior Prediction in Massively Multiplayer Online Role-Playing Games. - Brent E. Harrison; Stephen G. Ware; Matthew William Fendt; David L. Roberts 001 (IEEE Trans. Emerg. Top. Comput., 2015)

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

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

Learning From Stories: Using Crowdsourced Narratives to Train Virtual Agents. - Brent Harrison; Mark O. Riedl (AIIDE, 2016)

Object-Focused Advice in Reinforcement Learning. - Samantha Krening; Brent Harrison; Karen M. Feigh; Charles L. Isbell Jr.; Andrea Thomaz (AAMAS, 2016)

Policy Shaping in Domains with Multiple Optimal Policies: (Extended Abstract). - Himanshu Sahni; Brent Harrison; Kaushik Subramanian; Thomas Cederborg; Charles L. Isbell Jr.; Andrea Thomaz (AAMAS, 2016)

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

Toward Automated Story Generation with Markov Chain Monte Carlo Methods and Deep Neural Networks. - Brent Harrison; Christopher Purdy; Mark O. Riedl (AIIDE Workshops, 2017)

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

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

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

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

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

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

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

Learning to Generate Natural Language Rationales for Game Playing Agents. - Upol Ehsan; Pradyumna Tambwekar; Larry Chan; Brent Harrison; Mark O. Riedl (AIIDE Workshops, 2018)

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

Decentralized Multiagent Approach for Hedonic Games. - Kshitija Taywade; Judy Goldsmith; Brent Harrison (EUMAS, 2018)

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

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

Guided open story generation using probabilistic graphical models. - Sagar Gandhi; Brent Harrison (FDG, 2019)

End-to-end let's play commentary generation using multi-modal video representations. - Chengxi Li 005; Sagar Gandhi; Brent Harrison (FDG, 2019)

A Hierarchical Approach for Visual Storytelling Using Image Description. - Md Sultan Al Nahian; Tasmia Tasrin; Sagar Gandhi; Ryan Gaines; Brent Harrison (ICIDS, 2019)

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

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

Monte-Carlo Tree Search for Simulation-based Strategy Analysis. - Alexander Zook; Brent Harrison; Mark O. Riedl (CoRR, 2019)

Click Maximization in Online Social Networks Using Optimal Choice of Targeted Interests. - Nathaniel Hudson; Hana Khamfroush; Brent Harrison; Adam Craig (CoRR, 2019)

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

Discovering Hierarchies for Reinforcement Learning Using Data Mining. - Dave Mobley; Judy Goldsmith; Brent Harrison (FLAIRS, 2020)

Interactive Summarization for Data Filtering and Triage. - Justus Robertson; Brent E. Harrison; Arnav Jhala (FLAIRS, 2020)

Decentralized Marriage Models. - Kshitija Taywade; Judy Goldsmith; Brent Harrison (FLAIRS, 2020)

Smart Advertisement for Maximal Clicks in Online Social Networks Without User Data. - Nathaniel Hudson; Hana Khamfroush; Brent Harrison; Adam Craig (SMARTCOMP, 2020)

Reinforcement Learning for Decentralized Stable Matching. - Kshitija Taywade; Judy Goldsmith; Brent Harrison (CoRR, 2020)

Multi-agent Reinforcement Learning for Decentralized Stable Matching. - Kshitija Taywade; Judy Goldsmith; Brent Harrison (ADT, 2021)

3M: Multi-style image caption generation using Multi-modality features under Multi-UPDOWN model. - Chengxi Li 005; Brent Harrison (FLAIRS, 2021)

Visual Question Answering Using Semantic Information from Image Descriptions. - Tasmia Tasrin; Md Sultan Al Nahian; Brent Harrison (FLAIRS, 2021)

Influencing Reinforcement Learning through Natural Language Guidance. - Tasmia Tasrin; Md Sultan Al Nahian; Habarakadage Perera; Brent Harrison (FLAIRS, 2021)

Mistake Captioning: A Machine Learning Approach for Detecting Mistakes and Generating Instructive Feedback. - Anton Vinogradov; Andrew Miles Byrd; Brent Harrison (RANLP, 2021)

A Self-Explainable Stylish Image Captioning Framework via Multi-References. - Chengxi Li 005; Brent Harrison (CoRR, 2021)

Using Multi-Armed Bandits to Dynamically Update Player Models in an Experience Managed Environment. - Anton Vinogradov; Brent Harrison (AIIDE, 2022)

Learning a Scalable Algorithm for Improving Betweenness in the Lightning Network. - Vincent Davis; Brent Harrison (BCCA, 2022)

Modelling Cournot Games as Multi-agent Multi-armed Bandits. - Kshitija Taywade; Brent Harrison; Adib Bagh; Judy Goldsmith (FLAIRS, 2022)

Using Non-Stationary Bandits for Learning in Repeated Cournot Games with Non-Stationary Demand. - Kshitija Taywade; Brent Harrison; Judy Goldsmith (CoRR, 2022)

StyleM: Stylized Metrics for Image Captioning Built with Contrastive N-grams. - Chengxi Li 005; Brent Harrison (CoRR, 2022)

Modelling Cournot Games as Multi-agent Multi-armed Bandits. - Kshitija Taywade; Brent Harrison; Adib Bagh (CoRR, 2022)

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

Enhancing Character Depth through Personality Exceptions for Narrative Planners. - Elinor Rubin-McGregor; Brent Harrison; Cory Siler (AIIDE, 2023)

Detecting Player Preference Shifts in an Experience Managed Environment. - Anton Vinogradov; Brent Harrison (ICIDS (1), 2023)

Fast approximate bi-objective Pareto sets with quality bounds. - William Bailey; Judy Goldsmith; Brent Harrison; Siyao Xu (Auton. Agents Multi Agent Syst., 2023)

Designing Inclusive AI Certifications. - Kathleen Timmerman; Judy Goldsmith; Brent Harrison; Zongming Fei (AAAI Spring Symposia, 2024)

Using Natural Language to Improve Hierarchical Reinforcement Learning in Games. - Dave Mobley; Adrienne Corwin; Brent Harrison (AIIDE, 2024)

Evaluating the Stability of the Smogon Tier List for Competitive Pokémon Battling. - Nathan Arnold; Nicholas Fluty; Ryan D. Flores; Judy Goldsmith; Brent Harrison (EXAG@AIIDE, 2024)

An Empirical Analysis of the Validity of Competitive Pokémon Rule Sets. - Nicholas Fluty; Ryan D. Flores; Judy Goldsmith; Brent Harrison (EXAG@AIIDE, 2024)

ArmA 3 Billeting as a Coalition Formation Game. - Pearson Garner; Aaron Lin; Ruby Harris; Brent Harrison; Judy Goldsmith (EXAG@AIIDE, 2024)

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

Generalizing a Numeric Personality Metric for Narrative Planners. - Elinor Rubin-McGregor; Brent Harrison (INT@AIIDE, 2024)

Using Combinatorial Multi-Armed Bandits to Dynamically Update Player Models in an Experience Managed Environment. - Anton Vinogradov; Brent Harrison (INT@AIIDE, 2024)

A Sierpinski Triangle Data Structure for Efficient Array Value Update and Prefix Sum Calculation. - Brent Harrison; Jason Necaise; Andrew Projansky; James D. Whitfield (CoRR, 2024)

Guiding Reinforcement Learning Using Uncertainty-Aware Large Language Models. - Maryam Shoaeinaeini; Brent Harrison (CoRR, 2024)

DinoDroid: Testing Android Apps Using Deep Q-Networks. - Yu Zhao 010; Brent Harrison; Tingting Yu 001 (ACM Trans. Softw. Eng. Methodol., 2024)

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