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Brent Harrison
Brent Harrison
Assistant Professor, University of Kentucky
Dirección de correo verificada de cs.uky.edu
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Automated rationale generation: a technique for explainable AI and its effects on human perceptions
U Ehsan, P Tambwekar, L Chan, B Harrison, MO Riedl
Proceedings of the 24th international conference on intelligent user …, 2019
2792019
Event representations for automated story generation with deep neural nets
L Martin, P Ammanabrolu, X Wang, W Hancock, S Singh, B Harrison, ...
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
2732018
Rationalization: A neural machine translation approach to generating natural language explanations
U Ehsan, B Harrison, L Chan, MO Riedl
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 81-87, 2018
1792018
Identifying patterns in combat that are predictive of success in MOBA games.
P Yang, BE Harrison, DL Roberts
FDG, 2014
1662014
Controllable neural story plot generation via reward shaping
P Tambwekar, M Dhuliawala, LJ Martin, A Mehta, B Harrison, MO Riedl
arXiv preprint arXiv:1809.10736, 2018
1272018
Using stories to teach human values to artificial agents
MO Riedl, B Harrison
Workshops at the Thirtieth AAAI Conference on Artificial Intelligence, 2016
1272016
Learning from explanations using sentiment and advice in RL
S Krening, B Harrison, KM Feigh, CL Isbell, M Riedl, A Thomaz
IEEE Transactions on Cognitive and Developmental Systems 9 (1), 44-55, 2016
1112016
Achieving the illusion of agency
MW Fendt, B Harrison, SG Ware, RE Cardona-Rivera, DL Roberts
Interactive Storytelling: 5th International Conference, ICIDS 2012, San …, 2012
892012
A computational model of plan-based narrative conflict at the fabula level
SG Ware, RM Young, B Harrison, DL Roberts
IEEE Transactions on Computational Intelligence and AI in Games 6 (3), 271-288, 2013
702013
Using sequential observations to model and predict player behavior
B Harrison, DL Roberts
Proceedings of the 6th International Conference on Foundations of Digital …, 2011
662011
Monte-carlo tree search for simulation-based strategy analysis
A Zook, B Harrison, MO Riedl
arXiv preprint arXiv:1908.01423, 2019
532019
Improvisational computational storytelling in open worlds
LJ Martin, B Harrison, MO Riedl
Interactive Storytelling: 9th International Conference on Interactive …, 2016
512016
Toward automated story generation with markov chain monte carlo methods and deep neural networks
B Harrison, C Purdy, M Riedl
Proceedings of the AAAI Conference on Artificial Intelligence and …, 2017
452017
Crowdsourcing Open Interactive Narrative.
M Guzdial, B Harrison, B Li, MO Riedl
FDG, 2015
452015
Explore, exploit or listen: Combining human feedback and policy model to speed up deep reinforcement learning in 3d worlds
Z Lin, B Harrison, A Keech, MO Riedl
arXiv preprint arXiv:1709.03969, 2017
422017
Learning norms from stories: A prior for value aligned agents
MSA Nahian, S Frazier, M Riedl, B Harrison
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 124-130, 2020
402020
Foreseeing meaningful choices
R Cardona-Rivera, J Robertson, S Ware, B Harrison, D Roberts, R Young
Proceedings of the AAAI Conference on Artificial Intelligence and …, 2014
362014
Guiding reinforcement learning exploration using natural language
B Harrison, U Ehsan, MO Riedl
arXiv preprint arXiv:1707.08616, 2017
272017
Analytics-driven dynamic game adaption for player retention in Scrabble
B Harrison, DL Roberts
2013 IEEE Conference on Computational Inteligence in Games (CIG), 1-8, 2013
242013
Four quantitative metrics describing narrative conflict
SG Ware, RM Young, B Harrison, DL Roberts
Interactive Storytelling: 5th International Conference, ICIDS 2012, San …, 2012
242012
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