Brent E. Harrison

Orcid: 0000-0002-1301-5928

Affiliations:
  • University of Kentucky, Lexington, KY, USA


According to our database1, Brent E. Harrison authored at least 71 papers between 2010 and 2024.

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Bibliography

2024
DinoDroid: Testing Android Apps Using Deep Q-Networks.
ACM Trans. Softw. Eng. Methodol., June, 2024

A Sierpinski Triangle Data Structure for Efficient Array Value Update and Prefix Sum Calculation.
CoRR, 2024

Designing Inclusive AI Certifications.
Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023
Fast approximate bi-objective Pareto sets with quality bounds.
Auton. Agents Multi Agent Syst., 2023

Detecting Player Preference Shifts in an Experience Managed Environment.
Proceedings of the Interactive Storytelling, 2023

Enhancing Character Depth through Personality Exceptions for Narrative Planners.
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2023

2022
Machine Learning Approaches for Principle Prediction in Naturally Occurring Stories.
CoRR, 2022

Modelling Cournot Games as Multi-agent Multi-armed Bandits.
CoRR, 2022

StyleM: Stylized Metrics for Image Captioning Built with Contrastive N-grams.
CoRR, 2022

Using Non-Stationary Bandits for Learning in Repeated Cournot Games with Non-Stationary Demand.
CoRR, 2022

Modelling Cournot Games as Multi-agent Multi-armed Bandits.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

Learning a Scalable Algorithm for Improving Betweenness in the Lightning Network.
Proceedings of the Fourth International Conference on Blockchain Computing and Applications, 2022

Using Multi-Armed Bandits to Dynamically Update Player Models in an Experience Managed Environment.
Proceedings of the Eighteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2022

2021
A Self-Explainable Stylish Image Captioning Framework via Multi-References.
CoRR, 2021

Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior.
CoRR, 2021

Mistake Captioning: A Machine Learning Approach for Detecting Mistakes and Generating Instructive Feedback.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

Influencing Reinforcement Learning through Natural Language Guidance.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Visual Question Answering Using Semantic Information from Image Descriptions.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

3M: Multi-style image caption generation using Multi-modality features under Multi-UPDOWN model.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

Multi-agent Reinforcement Learning for Decentralized Stable Matching.
Proceedings of the Algorithmic Decision Theory - 7th International Conference, 2021

2020
Reinforcement Learning for Decentralized Stable Matching.
CoRR, 2020

Smart Advertisement for Maximal Clicks in Online Social Networks Without User Data.
Proceedings of the IEEE International Conference on Smart Computing, 2020

Decentralized Marriage Models.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Interactive Summarization for Data Filtering and Triage.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Discovering Hierarchies for Reinforcement Learning Using Data Mining.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Learning Norms from Stories: A Prior for Value Aligned Agents.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

2019
Click Maximization in Online Social Networks Using Optimal Choice of Targeted Interests.
CoRR, 2019

Monte-Carlo Tree Search for Simulation-based Strategy Analysis.
CoRR, 2019

Automated rationale generation: a technique for explainable AI and its effects on human perceptions.
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

Controllable Neural Story Plot Generation via Reward Shaping.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Hierarchical Approach for Visual Storytelling Using Image Description.
Proceedings of the Interactive Storytelling, 2019

End-to-end let's play commentary generation using multi-modal video representations.
Proceedings of the 14th International Conference on the Foundations of Digital Games, 2019

Guided open story generation using probabilistic graphical models.
Proceedings of the 14th International Conference on the Foundations of Digital Games, 2019

Enter the Matrix: Safely Interruptible Autonomous Systems via Virtualization.
Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), 2019

2018
Controllable Neural Story Generation via Reinforcement Learning.
CoRR, 2018

Decentralized Multiagent Approach for Hedonic Games.
Proceedings of the Multi-Agent Systems - 16th European Conference, 2018

Guiding Reinforcement Learning Exploration Using Natural Language.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Learning to Generate Natural Language Rationales for Game Playing Agents.
Proceedings of the Joint Proceedings of the AIIDE 2018 Workshops co-located with 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2018), 2018

Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations.
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

Event Representations for Automated Story Generation with Deep Neural Nets.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Learning From Explanations Using Sentiment and Advice in RL.
IEEE Trans. Cogn. Dev. Syst., 2017

Explore, Exploit or Listen: Combining Human Feedback and Policy Model to Speed up Deep Reinforcement Learning in 3D Worlds.
CoRR, 2017

Enter the Matrix: A Virtual World Approach to Safely Interruptable Autonomous Systems.
CoRR, 2017

Event Representations for Automated Story Generation with Deep Neural Nets.
CoRR, 2017

Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations.
CoRR, 2017

Toward Automated Story Generation with Markov Chain Monte Carlo Methods and Deep Neural Networks.
Proceedings of the Workshops of the Thirteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2017

2016
Improvisational Computational Storytelling in Open Worlds.
Proceedings of the Interactive Storytelling, 2016

Policy Shaping in Domains with Multiple Optimal Policies: (Extended Abstract).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Object-Focused Advice in Reinforcement Learning.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Learning From Stories: Using Crowdsourced Narratives to Train Virtual Agents.
Proceedings of the Twelfth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2016

Using Stories to Teach Human Values to Artificial Agents.
Proceedings of the AI, 2016

Towards Learning From Stories: An Approach to Interactive Machine Learning.
Proceedings of the Symbiotic Cognitive Systems, 2016

2015
A Survey and Analysis of Techniques for Player Behavior Prediction in Massively Multiplayer Online Role-Playing Games.
IEEE Trans. Emerg. Top. Comput., 2015

An Analytic and Psychometric Evaluation of Dynamic Game Adaption for Increasing Session-Level Retention in Casual Games.
IEEE Trans. Comput. Intell. AI Games, 2015

Monte-Carlo Tree Search for Simulation-based Play Strategy Analysis.
Proceedings of the 10th International Conference on the Foundations of Digital Games, 2015

Crowdsourcing Open Interactive Narrative.
Proceedings of the 10th International Conference on the Foundations of Digital Games, 2015

2014
A Computational Model of Plan-Based Narrative Conflict at the Fabula Level.
IEEE Trans. Comput. Intell. AI Games, 2014

Exploring key-level analytics for computational modeling of typing behavior.
Proceedings of the 2014 Symposium and Bootcamp on the Science of Security, 2014

Identifying patterns in combat that are predictive of success in MOBA games.
Proceedings of the 9th International Conference on the Foundations of Digital Games, 2014

Analytics-Driven Dynamic Game Adaption for Player Retention in a 2-Dimensional Adventure Game.
Proceedings of the Tenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2014

Foreseeing Meaningful Choices.
Proceedings of the Tenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2014

2013
Analytics-driven dynamic game adaption for player retention in Scrabble.
Proceedings of the 2013 IEEE Conference on Computational Inteligence in Games (CIG), 2013

Creating Model-Based Adaptive Environments Using Game-Specific and Game-Independent Analytics.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Four Quantitative Metrics Describing Narrative Conflict.
Proceedings of the Interactive Storytelling - 5th International Conference, 2012

Achieving the Illusion of Agency.
Proceedings of the Interactive Storytelling - 5th International Conference, 2012

When Players Quit (Playing Scrabble).
Proceedings of the Eighth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2012

Spatial Game Signatures for Bot Detection in Social Games.
Proceedings of the Eighth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2012

2011
Biclustering-Driven Ensemble of Bayesian Belief Network Classifiers for Underdetermined Problems.
Proceedings of the IJCAI 2011, 2011

Using sequential observations to model and predict player behavior.
Proceedings of the Foundations of Digital Games, 2011

Initial Results for Measuring Four Dimensions of Narrative Conflict.
Proceedings of the Intelligent Narrative Technologies IV, 2011

2010
Improving the Performance of Bayesian Belief Network Classifiers via Decision Tree Based Feature Selection.
Proceedings of the 2010 International Conference on Information & Knowledge Engineering, 2010


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