| 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 | 281 | 2019 |
| 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 | 274 | 2018 |
| 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 | 181 | 2018 |
| Identifying patterns in combat that are predictive of success in MOBA games. P Yang, BE Harrison, DL Roberts FDG, 2014 | 167 | 2014 |
| 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 | 128 | 2018 |
| Using stories to teach human values to artificial agents MO Riedl, B Harrison Workshops at the Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 127 | 2016 |
| 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 | 113 | 2016 |
| 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 | 89 | 2012 |
| 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 | 70 | 2013 |
| Using sequential observations to model and predict player behavior B Harrison, DL Roberts Proceedings of the 6th International Conference on Foundations of Digital …, 2011 | 66 | 2011 |
| Monte-carlo tree search for simulation-based strategy analysis A Zook, B Harrison, MO Riedl arXiv preprint arXiv:1908.01423, 2019 | 53 | 2019 |
| Improvisational computational storytelling in open worlds LJ Martin, B Harrison, MO Riedl Interactive Storytelling: 9th International Conference on Interactive …, 2016 | 52 | 2016 |
| 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 | 45 | 2017 |
| Crowdsourcing Open Interactive Narrative. M Guzdial, B Harrison, B Li, MO Riedl FDG, 2015 | 45 | 2015 |
| 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 | 43 | 2017 |
| 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 | 41 | 2020 |
| 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 | 37 | 2014 |
| Guiding reinforcement learning exploration using natural language B Harrison, U Ehsan, MO Riedl arXiv preprint arXiv:1707.08616, 2017 | 29 | 2017 |
| 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 | 24 | 2013 |
| Four quantitative metrics describing narrative conflict SG Ware, RM Young, B Harrison, DL Roberts Interactive Storytelling: 5th International Conference, ICIDS 2012, San …, 2012 | 24 | 2012 |
