Biblio

Found 8 results
Author Title [ Type(Desc)] Year
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Conference Paper
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.
Conference Proceedings
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.
Booth, S., B. W. Knox, J. Shah, S. Niekum, P. Stone, and A. Allievi, "The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications", Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), Washington, D.C. , 02/2023.
Fong, T., J. Scholtz, J. A. Shah, L. Fluckiger, C. Kunz, D. Lees, J. Schreiner, M. Siegel, L. M. Hiatt, I. Nourbakhsh, et al., "A Preliminary Study of Peer-to-Peer Human-Robot Interaction", IEEE International Conference on Systems, Man, and Cybernetics (SMC), 10/2006.
Fong, T., J. Scholtz, J. A. Shah, L. Fluckiger, C. Kunz, D. Lees, J. Schreiner, M. Siegel, L. M. Hiatt, I. Nourbakhsh, et al., "A Preliminary Study of Peer-to-Peer Human-Robot Interaction", IEEE International Conference on Systems, Man, and Cybernetics (SMC), 10/2006.
Journal Article
Fallon, M., S. Kuindersma, S. Karumanchi, M. Antone, T. Schneider, H. Dai, C. Pérez-D'Arpino, R. Deits, M. Dicicco, D. Fourie, et al., "An Architecture for Online Affordance-based Perception and Whole-body Planning", Journal of Field Robotics (JFR), vol. 32, issue 2, 10/2014.
Workshop Paper
Wang, Y., C-Y. Ko, and P. Agrawal, "Visual Pre-training for Navigation: What Can We Learn from Noise?", Thirty-sixth Annual Conference on Neural Information Processing Systems, New Orleans, LA, Synthetic Data for Empowering ML Research Workshop & Self-Supervised Learning Workshop, 2022.