Biblio

Found 136 results
Author Title [ Type(Desc)] Year
Conference Paper
Zhou, Y., S. Booth, M. Tulio Ribeiro, and J. Shah, "Do Feature Attribution Methods Correctly Attribute Features?", Proceedings of the 36th AAAI Conference on Artificial Intelligence: AAAI, 02/2022.
Zhou, Y., M. Tulio Ribeiro, and J. Shah, "ExSum: From Local Explanations to Model Understanding", Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): Association for Computational Linguistics, 07/2022.
Booth, S., W. B. Knox, J. Shah, S. Niekum, P. Stone, and A. Allievi, "Extended Abstract: Graduate Student Descent Considered Harmful? A Proposal for Studying Overfitting in Reward Functions", The Multi-disciplinary Conference on Reinforcement Learning and Decision Making, Providence, RI, 2022.
Knox, W. B., S. Hatgis-Kessell, S. Booth, S. Niekum, P. Stone, and A. Allievi, "Extended Abstract: Partial Return Poorly Explains Human Preferences", The Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM), Providence, RI, 2022.
Booth, S., S. Sharma, S. Chung, J. Shah, and E. L. Glassman, "Revisiting Human-Robot Teaching and Learning Through the Lens of Human Concept Learning Theory", ACM/IEEE International Conference on Human-Robot Interaction (HRI), 03/2022.
Wang, Y., N. Figueroa, S. Li, A. Shah, and J. Shah, "Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations", 6th Annual Conference on Robot Learning, Auckland, New Zealand, 12/2022.
Conference Proceedings
Gombolay, M., R. Jensen, J. Stigile, S-H. Son, and J. Shah, "Apprenticeship Scheduling: Learning to Schedule from Human Experts", International Joint Conferences on Artificial Intelligence (IJCAI), 07/2016.
Kim, J., and J. A. Shah, "Automatic Prediction of Consistency among Team Members' Understanding of Group Decisions in Meetings", IEEE International Conference on Systems, Man, and Cybernetics (SMC), 10/2014.
Kim, B., C. Rudin, and J. Shah, "The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification", Neural Information Processing Systems (NIPS), 12/2014.
Lasota, P. A., and J. A. Shah, "Bayesian Estimator for Partial Trajectory Alignment", Robotics: Science and Systems [31% Acceptance Rate], 06/2019.
Kim, J., C. Muise, A. Shah, S. Agarwal, and J. Shah, "Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations", International Joint Conference on Artificial Intelligence (IJCAI), Macau, China, 08/2019.
Shah, A., P. Kamath, S. Li, and J. Shah, "Bayesian Inference of Temporal Task Specifications from Demonstrations", Conference on Neural Information Processing Systems, Montreal, Canada, 2018.
Booth*, S., Y. Zhou*, A. Shah, and J. Shah, "Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example", AAAI Conference on Artificial Intelligence, 2021.
Pérez-D'Arpino, C., and J. A. Shah, "C-LEARN: Learning Geometric Constraints from Demonstrations for Multi-Step Manipulation in Shared Autonomy", IEEE International Conference on Robotics and Automation (ICRA), 05/2017.
Kim, J., C. J. Banks, and J. A. Shah, "Collaborative Planning with Encoding of Users’ High-level Strategies", AAAI Conference on Artificial Intelligence (AAAI), 02/2017.
Unhelkar, V. V., H. Chit Siu, and J. A. Shah, "Comparative Performance of Human and Mobile Robotic Assistants in Collaborative Fetch-and-Deliver Tasks", ACM/IEEE International Conference on Human Robot Interaction (HRI), 03/2014.
Dong, S., P. Conrad, J. A. Shah, B. Williams, D. Mittman, M. Ingham, and V. Verma, "Compliant Task Execution and Learning for Safe Mixed-Initiative Human-Robot Operations", AIAA Infotech@Aerospace (I@A), 06/2011.
Unhelkar, V. V., and J. A. Shah, "ConTaCT : Deciding to Communicate During Time-Critical Collaborative Tasks in Unknown, Deterministic Domains", AAAI Conference on Artificial Intelligence (AAAI) [26% Acceptance Rate], 02/2016.
Zhang, C., and J. A. Shah, "Co-Optimization Multi-Agent Placement with Task Assignment and Scheduling", International Joint Conferences on Artificial Intelligence (IJCAI), 07/2016.
Zhang, C., and J. A. Shah, "Co-Optimizing Task and Motion Planning", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 10/2016.
Gombolay, M. C., C. Huang, and J. A. Shah, "Coordination of Human-Robot Teaming with Human Task Preferences", AAAI Fall Symposium Series on AI-HRI, 11/2015.
Gombolay, M. C., R. A. Gutierrez, G. F. Sturla, and J. A. Shah, "Decision-Making Authority, Team Efficiency and Human Worker Satisfaction in Mixed Human-Robot Teams", Robotics: Science and Systems (RSS), 07/2014.
Unhelkar*, V. V., S. Li*, and J. A. Shah, "Decision-Making for Bidirectional Communication in Sequential Human-Robot Collaborative Tasks", Human-Robot Interaction (HRI), 03/2020.
Boerkoel, J. C., and E. H. Durfee, "Decoupling the Multiagent Disjunctive Temporal Problem", AAAI Conference on Artificial Intelligence (AAAI), 07/2013.
Lasota, P. A., S. Nikolaidis, and J. A. Shah, "Developing an Adaptive Robotic Assistant for Close Proximity Human-Robot Collaboration in Space", AIAA Infotech@Aerospace (I@A), 08/2013.

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