Brent Harrison

73 papers A* 2A 4B 1C 11Misc 7Journal 29Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Guiding Reinforcement Learning Using Uncertainty-Aware Large Language Models. TPS-ISA Maryam Shoaeinaeini, Brent Harrison
2025	J	`jnl`	The Goofus & Gallant Story Corpus for Practical Value Alignment. CoRR Md Sultan Al Nahian, Tasmia Tasrin, Spencer Frazier, Mark O. Riedl, Brent Harrison
2024	J	`jnl`	A Sierpinski Triangle Data Structure for Efficient Array Value Update and Prefix Sum Calculation. CoRR Brent Harrison, Jason Necaise, Andrew Projansky, James D. Whitfield
2024	—	`conf`	An Empirical Analysis of the Validity of Competitive Pokémon Rule Sets. EXAG@AIIDE Nicholas Fluty, Ryan D. Flores, Judy Goldsmith, Brent Harrison
2024	—	`conf`	ArmA 3 Billeting as a Coalition Formation Game. EXAG@AIIDE Pearson Garner, Aaron Lin, Ruby Harris, Brent Harrison, Judy Goldsmith
2024	—	`conf`	Designing Inclusive AI Certifications. AAAI Spring Symposia Kathleen Timmerman, Judy Goldsmith, Brent Harrison, Zongming Fei
2024	J	`jnl`	DinoDroid: Testing Android Apps Using Deep Q-Networks. ACM Trans. Softw. Eng. Methodol. Yu Zhao, Brent Harrison, Tingting Yu
2024	—	`conf`	Evaluating the Stability of the Smogon Tier List for Competitive Pokémon Battling. EXAG@AIIDE Nathan Arnold, Nicholas Fluty, Ryan D. Flores, Judy Goldsmith, Brent Harrison
2024	—	`conf`	Generalizing a Numeric Personality Metric for Narrative Planners. INT@AIIDE Elinor Rubin-McGregor, Brent Harrison
2024	J	`jnl`	Guiding Reinforcement Learning Using Uncertainty-Aware Large Language Models. CoRR Maryam Shoaeinaeini, Brent Harrison
2024	C	`conf`	The Goofus & Gallant Story Corpus for Practical Value Alignment. ICMLA Md Sultan Al Nahian, Tasmia Tasrin, Spencer Frazier, Mark O. Riedl, Brent Harrison
2024	J	`jnl`	Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior. IEEE Trans. Artif. Intell. Md Sultan Al Nahian, Spencer Frazier, Mark O. Riedl, Brent Harrison
2024	—	`conf`	Using Combinatorial Multi-Armed Bandits to Dynamically Update Player Models in an Experience Managed Environment. INT@AIIDE Anton Vinogradov, Brent Harrison
2024	—	`conf`	Using Natural Language to Improve Hierarchical Reinforcement Learning in Games. AIIDE Dave Mobley, Adrienne Corwin, Brent Harrison
2023	—	`conf`	Detecting Player Preference Shifts in an Experience Managed Environment. ICIDS (1) Anton Vinogradov, Brent Harrison
2023	—	`conf`	Enhancing Character Depth through Personality Exceptions for Narrative Planners. AIIDE Elinor Rubin-McGregor, Brent Harrison, Cory Siler
2023	J	`jnl`	Fast approximate bi-objective Pareto sets with quality bounds. Auton. Agents Multi Agent Syst. William Bailey, Judy Goldsmith, Brent Harrison, Siyao Xu
2022	J	`jnl`	DinoDroid: Testing Android Apps Using Deep Q-Networks. CoRR Yu Zhao, Brent Harrison, Tingting Yu
2022	—	`ed.`	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. AIIDE Workshops Brent Harrison
2022	—	`conf`	Learning a Scalable Algorithm for Improving Betweenness in the Lightning Network. BCCA Vincent Davis, Brent Harrison
2022	J	`jnl`	Machine Learning Approaches for Principle Prediction in Naturally Occurring Stories. CoRR Md Sultan Al Nahian, Spencer Frazier, Brent Harrison, Mark O. Riedl
2022	Misc	`conf`	Modelling Cournot Games as Multi-agent Multi-armed Bandits. FLAIRS Kshitija Taywade, Brent Harrison, Adib Bagh, Judy Goldsmith
2022	J	`jnl`	Modelling Cournot Games as Multi-agent Multi-armed Bandits. CoRR Kshitija Taywade, Brent Harrison, Adib Bagh
2022	J	`jnl`	StyleM: Stylized Metrics for Image Captioning Built with Contrastive N-grams. CoRR Chengxi Li, Brent Harrison
2022	—	`conf`	Using Multi-Armed Bandits to Dynamically Update Player Models in an Experience Managed Environment. AIIDE Anton Vinogradov, Brent Harrison
2022	J	`jnl`	Using Non-Stationary Bandits for Learning in Repeated Cournot Games with Non-Stationary Demand. CoRR Kshitija Taywade, Brent Harrison, Judy Goldsmith
2021	Misc	`conf`	3M: Multi-style image caption generation using Multi-modality features under Multi-UPDOWN model. FLAIRS Chengxi Li, Brent Harrison
2021	J	`jnl`	3M: Multi-style image caption generation using Multi-modality features under Multi-UPDOWN model. CoRR Chengxi Li, Brent Harrison
2021	J	`jnl`	A Self-Explainable Stylish Image Captioning Framework via Multi-References. CoRR Chengxi Li, Brent Harrison
2021	Misc	`conf`	Influencing Reinforcement Learning through Natural Language Guidance. FLAIRS Tasmia Tasrin, Md Sultan Al Nahian, Habarakadage Perera, Brent Harrison
2021	J	`jnl`	Influencing Reinforcement Learning through Natural Language Guidance. CoRR Tasmia Tasrin, Md Sultan Al Nahian, Habarakadage Perera, Brent Harrison
2021	Misc	`conf`	Mistake Captioning: A Machine Learning Approach for Detecting Mistakes and Generating Instructive Feedback. RANLP Anton Vinogradov, Andrew Miles Byrd, Brent Harrison
2021	—	`conf`	Multi-agent Reinforcement Learning for Decentralized Stable Matching. ADT Kshitija Taywade, Judy Goldsmith, Brent Harrison
2021	J	`jnl`	Training Value-Aligned Reinforcement Learning Agents Using a Normative Prior. CoRR Md Sultan Al Nahian, Spencer Frazier, Brent Harrison, Mark O. Riedl
2021	Misc	`conf`	Visual Question Answering Using Semantic Information from Image Descriptions. FLAIRS Tasmia Tasrin, Md Sultan Al Nahian, Brent Harrison
2020	Misc	`conf`	Decentralized Marriage Models. FLAIRS Kshitija Taywade, Judy Goldsmith, Brent Harrison
2020	Misc	`conf`	Discovering Hierarchies for Reinforcement Learning Using Data Mining. FLAIRS Dave Mobley, Judy Goldsmith, Brent Harrison
2020	C	`conf`	Learning Norms from Stories: A Prior for Value Aligned Agents. AIES Md Sultan Al Nahian, Spencer Frazier, Mark O. Riedl, Brent Harrison
2020	J	`jnl`	Reinforcement Learning for Decentralized Stable Matching. CoRR Kshitija Taywade, Judy Goldsmith, Brent Harrison
2020	B	`conf`	Smart Advertisement for Maximal Clicks in Online Social Networks Without User Data. SMARTCOMP Nathaniel Hudson, Hana Khamfroush, Brent Harrison, Adam Craig
2020	J	`jnl`	Visual Question Answering Using Semantic Information from Image Descriptions. CoRR Tasmia Tasrin, Md Sultan Al Nahian, Brent Harrison
2019	C	`conf`	A Hierarchical Approach for Visual Storytelling Using Image Description. ICIDS Md Sultan Al Nahian, Tasmia Tasrin, Sagar Gandhi, Ryan Gaines, Brent Harrison
2019	J	`jnl`	A Hierarchical Approach for Visual Storytelling Using Image Description. CoRR Md Sultan Al Nahian, Tasmia Tasrin, Sagar Gandhi, Ryan Gaines, Brent Harrison
2019	J	`jnl`	Automated Rationale Generation: A Technique for Explainable AI and its Effects on Human Perceptions. CoRR Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, Mark O. Riedl
2019	A	`conf`	Automated rationale generation: a technique for explainable AI and its effects on human perceptions. IUI Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, Mark O. Riedl
2019	J	`jnl`	Click Maximization in Online Social Networks Using Optimal Choice of Targeted Interests. CoRR Nathaniel Hudson, Hana Khamfroush, Brent Harrison, Adam Craig
2019	A*	`conf`	Controllable Neural Story Plot Generation via Reward Shaping. IJCAI Pradyumna Tambwekar, Murtaza Dhuliawala, Lara J. Martin, Animesh Mehta, Brent Harrison, Mark O. Riedl
2019	C	`conf`	End-to-end let's play commentary generation using multi-modal video representations. FDG Chengxi Li, Sagar Gandhi, Brent Harrison
2019	—	`conf`	Enter the Matrix: Safely Interruptible Autonomous Systems via Virtualization. SafeAI@AAAI Mark O. Riedl, Brent Harrison
2019	C	`conf`	Guided open story generation using probabilistic graphical models. FDG Sagar Gandhi, Brent Harrison
2019	J	`jnl`	Learning Norms from Stories: A Prior for Value Aligned Agents. CoRR Spencer Frazier, Md Sultan Al Nahian, Mark O. Riedl, Brent Harrison
2019	J	`jnl`	Monte-Carlo Tree Search for Simulation-based Strategy Analysis. CoRR Alexander Zook, Brent Harrison, Mark O. Riedl
2018	J	`jnl`	Controllable Neural Story Generation via Reinforcement Learning. CoRR Pradyumna Tambwekar, Murtaza Dhuliawala, Animesh Mehta, Lara J. Martin, Brent Harrison, Mark O. Riedl
2018	C	`conf`	Decentralized Multiagent Approach for Hedonic Games. EUMAS Kshitija Taywade, Judy Goldsmith, Brent Harrison
2018	A*	`conf`	Event Representations for Automated Story Generation with Deep Neural Nets. AAAI Lara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang, William Hancock, Shruti Singh, Brent Harrison, Mark O. Riedl
2018	A	`conf`	Guiding Reinforcement Learning Exploration Using Natural Language. AAMAS Brent Harrison, Upol Ehsan, Mark O. Riedl
2018	—	`conf`	Learning to Generate Natural Language Rationales for Game Playing Agents. AIIDE Workshops Upol Ehsan, Pradyumna Tambwekar, Larry Chan, Brent Harrison, Mark O. Riedl
2018	C	`conf`	Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations. AIES Upol Ehsan, Brent Harrison, Larry Chan, Mark O. Riedl
2017	J	`jnl`	Enter the Matrix: A Virtual World Approach to Safely Interruptable Autonomous Systems. CoRR Mark O. Riedl, Brent Harrison
2017	J	`jnl`	Event Representations for Automated Story Generation with Deep Neural Nets. CoRR Lara J. Martin, Prithviraj Ammanabrolu, William Hancock, Shruti Singh, Brent Harrison, Mark O. Riedl
2017	J	`jnl`	Explore, Exploit or Listen: Combining Human Feedback and Policy Model to Speed up Deep Reinforcement Learning in 3D Worlds. CoRR Zhiyu Lin, Brent Harrison, Aaron Keech, Mark O. Riedl
2017	J	`jnl`	Guiding Reinforcement Learning Exploration Using Natural Language. CoRR Brent Harrison, Upol Ehsan, Mark O. Riedl
2017	J	`jnl`	Learning From Explanations Using Sentiment and Advice in RL. IEEE Trans. Cogn. Dev. Syst. Samantha Krening, Brent Harrison, Karen M. Feigh, Charles Lee Isbell Jr., Mark O. Riedl, Andrea Thomaz
2017	J	`jnl`	Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations. CoRR Brent Harrison, Upol Ehsan, Mark O. Riedl
2017	—	`conf`	Toward Automated Story Generation with Markov Chain Monte Carlo Methods and Deep Neural Networks. AIIDE Workshops Brent Harrison, Christopher Purdy, Mark O. Riedl
2016	C	`conf`	Improvisational Computational Storytelling in Open Worlds. ICIDS Lara J. Martin, Brent Harrison, Mark O. Riedl
2016	—	`conf`	Learning From Stories: Using Crowdsourced Narratives to Train Virtual Agents. AIIDE Brent Harrison, Mark O. Riedl
2016	A	`conf`	Object-Focused Advice in Reinforcement Learning. AAMAS Samantha Krening, Brent Harrison, Karen M. Feigh, Charles L. Isbell Jr., Andrea Thomaz
2016	A	`conf`	Policy Shaping in Domains with Multiple Optimal Policies: (Extended Abstract). AAMAS Himanshu Sahni, Brent Harrison, Kaushik Subramanian, Thomas Cederborg, Charles L. Isbell Jr., Andrea Thomaz
2016	—	`conf`	Towards Learning From Stories: An Approach to Interactive Machine Learning. AAAI Workshop: Symbiotic Cognitive Systems Brent Harrison, Mark O. Riedl
2016	C	`conf`	Using Stories to Teach Human Values to Artificial Agents. AAAI Workshop: AI, Ethics, and Society Mark O. Riedl, Brent Harrison
2015	C	`conf`	Crowdsourcing Open Interactive Narrative. FDG Matthew Guzdial, Brent Harrison, Boyang Li, Mark O. Riedl
2015	C	`conf`	Monte-Carlo Tree Search for Simulation-based Play Strategy Analysis. FDG Alexander Zook, Brent Harrison, Mark O. Riedl