| Asking the right questions: Learning interpretable action models through query answering P Verma, SR Marpally, S Srivastava Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 12024 …, 2021 | 35 | 2021 |
| Discovering user-interpretable capabilities of black-box planning agents P Verma, SR Marpally, S Srivastava arXiv preprint arXiv:2107.13668, 2021 | 20 | 2021 |
| Order Matters: Generating Progressive Explanations for Planning Tasks in Human-Robot Teaming M Zakershahrak, SR Marpally, A Sharma, Z Gong, Y Zhang arXiv preprint arXiv:2004.07822, 2020 | 15 | 2020 |
| Asking the right questions: Interpretable action model learning using query-answering P Verma, SR Marpally, S Srivastava | 3 | 2020 |
| Learning user-interpretable descriptions of black-box AI system capabilities P Verma, SR Marpally, S Srivastava Proc. of the Workshop on Knowledge Engineering for Planning and Scheduling, 2021 | 2 | 2021 |
| Learning Interpretable Action Models of Simulated Agents Through Agent Interrogation SR Marpally Arizona State University, 2021 | | 2021 |
| Geometrical Mapping of an Initially Unknown Region by a Mobile Robot SR Marpally, MS Nagarakshith, A Sadananda, KR Guruprasad 2019 IEEE International Conference on Distributed Computing, VLSI …, 2019 | | 2019 |
Mehrdad ZakershahrakComputer Science Ph.D.Verified email at asu.edu
