Brent Harrison

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 62

Top Topics

Online Social Networks

Reinforcement Learning

Story Generation

Top Venues

FLAIRS Conference

Publications

Brent Harrison, Jason Necaise, Andrew Projansky, James D. Whitfield
A Sierpinski Triangle Data Structure for Efficient Array Value Update and Prefix Sum Calculation. CoRR (2024)
Yu Zhao, Brent Harrison, Tingting Yu
DinoDroid: Testing Android Apps Using Deep Q-Networks. ACM Trans. Softw. Eng. Methodol. 33 (5) (2024)
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) (2024)
Kathleen Timmerman, Judy Goldsmith, Brent Harrison, Zongming Fei
Designing Inclusive AI Certifications. AAAI Spring Symposia (2024)
Elinor Rubin-McGregor, Brent Harrison, Cory Siler
Enhancing Character Depth through Personality Exceptions for Narrative Planners. AIIDE (2023)
William Bailey, Judy Goldsmith, Brent Harrison, Siyao Xu
Fast approximate bi-objective Pareto sets with quality bounds. Auton. Agents Multi Agent Syst. 37 (1) (2023)
Anton Vinogradov, Brent Harrison
Detecting Player Preference Shifts in an Experience Managed Environment. ICIDS (1) (2023)
Kshitija Taywade, Brent Harrison, Adib Bagh
Modelling Cournot Games as Multi-agent Multi-armed Bandits. CoRR (2022)
Chengxi Li, Brent Harrison
StyleM: Stylized Metrics for Image Captioning Built with Contrastive N-grams. CoRR (2022)
Vincent Davis, Brent Harrison
Learning a Scalable Algorithm for Improving Betweenness in the Lightning Network. BCCA (2022)
Kshitija Taywade, Brent Harrison, Judy Goldsmith
Using Non-Stationary Bandits for Learning in Repeated Cournot Games with Non-Stationary Demand. CoRR (2022)
Yu Zhao, Brent Harrison, Tingting Yu
DinoDroid: Testing Android Apps Using Deep Q-Networks. CoRR (2022)
Md Sultan Al Nahian, Spencer Frazier, Brent Harrison, Mark O. Riedl
Machine Learning Approaches for Principle Prediction in Naturally Occurring Stories. CoRR (2022)
Kshitija Taywade, Brent Harrison, Adib Bagh, Judy Goldsmith
Modelling Cournot Games as Multi-agent Multi-armed Bandits. FLAIRS (2022)
Anton Vinogradov, Brent Harrison
Using Multi-Armed Bandits to Dynamically Update Player Models in an Experience Managed Environment. AIIDE (2022)
Chengxi Li, Brent Harrison
3M: Multi-style image caption generation using Multi-modality features under Multi-UPDOWN model. FLAIRS Conference (2021)
Anton Vinogradov, Andrew Miles Byrd, Brent Harrison
Mistake Captioning: A Machine Learning Approach for Detecting Mistakes and Generating Instructive Feedback. RANLP (2021)
Chengxi Li, Brent Harrison
3M: Multi-style image caption generation using Multi-modality features under Multi-UPDOWN model. CoRR (2021)
Kshitija Taywade, Judy Goldsmith, Brent Harrison
Multi-agent Reinforcement Learning for Decentralized Stable Matching. ADT (2021)
Tasmia Tasrin, Md Sultan Al Nahian, Brent Harrison
Visual Question Answering Using Semantic Information from Image Descriptions. FLAIRS Conference (2021)
Chengxi Li, Brent Harrison
A Self-Explainable Stylish Image Captioning Framework via Multi-References. CoRR (2021)
Md Sultan Al Nahian, Spencer Frazier, Brent Harrison, Mark Riedl
Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior. CoRR (2021)
Tasmia Tasrin, Md Sultan Al Nahian, Habarakadage Perera, Brent Harrison
Influencing Reinforcement Learning through Natural Language Guidance. FLAIRS Conference (2021)
Tasmia Tasrin, Md Sultan Al Nahian, Habarakadage Perera, Brent Harrison
Influencing Reinforcement Learning through Natural Language Guidance. CoRR (2021)
Kshitija Taywade, Judy Goldsmith, Brent Harrison
Reinforcement Learning for Decentralized Stable Matching. CoRR (2020)
Md Sultan Al Nahian, Spencer Frazier, Mark Riedl, Brent Harrison
Learning Norms from Stories: A Prior for Value Aligned Agents. AIES (2020)
Tasmia Tasrin, Md Sultan Al Nahian, Brent Harrison
Visual Question Answering Using Semantic Information from Image Descriptions. CoRR (2020)
Kshitija Taywade, Judy Goldsmith, Brent Harrison
Decentralized Marriage Models. FLAIRS Conference (2020)
Nathaniel Hudson, Hana Khamfroush, Brent Harrison, Adam Craig
Smart Advertisement for Maximal Clicks in Online Social Networks Without User Data. SMARTCOMP (2020)
Dave Mobley, Judy Goldsmith, Brent Harrison
Discovering Hierarchies for Reinforcement Learning Using Data Mining. FLAIRS Conference (2020)
Sagar Gandhi, Brent Harrison
Guided open story generation using probabilistic graphical models. FDG (2019)
Md Sultan Al Nahian, Tasmia Tasrin, Sagar Gandhi, Ryan Gaines, Brent Harrison
A Hierarchical Approach for Visual Storytelling Using Image Description. ICIDS (2019)
Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, Mark Riedl
Automated Rationale Generation: A Technique for Explainable AI and its Effects on Human Perceptions. CoRR (2019)
Mark Riedl, Brent Harrison
Enter the Matrix: Safely Interruptible Autonomous Systems via Virtualization. SafeAI@AAAI (2019)
Md Sultan Al Nahian, Tasmia Tasrin, Sagar Gandhi, Ryan Gaines, Brent Harrison
A Hierarchical Approach for Visual Storytelling Using Image Description. CoRR (2019)
Pradyumna Tambwekar, Murtaza Dhuliawala, Lara J. Martin, Animesh Mehta, Brent Harrison, Mark O. Riedl
Controllable Neural Story Plot Generation via Reward Shaping. IJCAI (2019)
Alexander Zook, Brent Harrison, Mark O. Riedl
Monte-Carlo Tree Search for Simulation-based Strategy Analysis. CoRR (2019)
Chengxi Li, Sagar Gandhi, Brent Harrison
End-to-end let's play commentary generation using multi-modal video representations. FDG (2019)
Nathaniel Hudson, Hana Khamfroush, Brent Harrison, Adam Craig
Click Maximization in Online Social Networks Using Optimal Choice of Targeted Interests. CoRR (2019)
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)
Spencer Frazier, Md Sultan Al Nahian, Mark Riedl, Brent Harrison
Learning Norms from Stories: A Prior for Value Aligned Agents. CoRR (2019)
Upol Ehsan, Brent Harrison, Larry Chan, Mark O. Riedl
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations. AIES (2018)
Brent Harrison, Upol Ehsan, Mark O. Riedl
Guiding Reinforcement Learning Exploration Using Natural Language. AAMAS (2018)
Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, Mark O. Riedl
Learning to Generate Natural Language Rationales for Game Playing Agents. AIIDE Workshops (2018)
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)
Pradyumna Tambwekar, Murtaza Dhuliawala, Animesh Mehta, Lara J. Martin, Brent Harrison, Mark O. Riedl
Controllable Neural Story Generation via Reinforcement Learning. CoRR (2018)
Kshitija Taywade, Judy Goldsmith, Brent Harrison
Decentralized Multiagent Approach for Hedonic Games. EUMAS (2018)
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 (2017)
Mark O. Riedl, Brent Harrison
Enter the Matrix: A Virtual World Approach to Safely Interruptable Autonomous Systems. CoRR (2017)
Brent Harrison, Upol Ehsan, Mark O. Riedl
Guiding Reinforcement Learning Exploration Using Natural Language. CoRR (2017)
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 (2017)
Brent Harrison, Upol Ehsan, Mark O. Riedl
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations. CoRR (2017)
Samantha Krening, Brent Harrison, Karen M. Feigh, Charles Lee Isbell Jr., Mark Riedl, Andrea Thomaz
Learning From Explanations Using Sentiment and Advice in RL. IEEE Trans. Cogn. Dev. Syst. 9 (1) (2017)
Brent Harrison, Christopher Purdy, Mark O. Riedl
Toward Automated Story Generation with Markov Chain Monte Carlo Methods and Deep Neural Networks. AIIDE Workshops (2017)
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)
Brent Harrison, Mark O. Riedl
Learning From Stories: Using Crowdsourced Narratives to Train Virtual Agents. AIIDE (2016)
Brent Harrison, Mark O. Riedl
Towards Learning From Stories: An Approach to Interactive Machine Learning. AAAI Workshop: Symbiotic Cognitive Systems (2016)
Lara J. Martin, Brent Harrison, Mark O. Riedl
Improvisational Computational Storytelling in Open Worlds. ICIDS (2016)
Mark O. Riedl, Brent Harrison
Using Stories to Teach Human Values to Artificial Agents. AAAI Workshop: AI, Ethics, and Society (2016)
Samantha Krening, Brent Harrison, Karen M. Feigh, Charles L. Isbell Jr., Andrea Thomaz
Object-Focused Advice in Reinforcement Learning. AAMAS (2016)
Matthew Guzdial, Brent Harrison, Boyang Li, Mark Riedl
Crowdsourcing Open Interactive Narrative. FDG (2015)
Alexander Zook, Brent Harrison, Mark Riedl
Monte-Carlo Tree Search for Simulation-based Play Strategy Analysis. FDG (2015)