| Plan explanations as model reconciliation--an empirical study T Chakraborti, S Sreedharan, S Grover, S Kambhampati 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2019 | 118 | 2019 |
| Learning how to construct models of dynamic systems: an initial evaluation of the dragoon intelligent tutoring system K VanLehn, J Wetzel, S Grover, B Van De Sande IEEE Transactions on Learning Technologies 10 (2), 154-167, 2016 | 66 | 2016 |
| Text extraction from document images using edge information S Grover, K Arora, SK Mitra 2009 Annual IEEE India Conference, 1-4, 2009 | 44 | 2009 |
| RADAR: automated task planning for proactive decision support S Grover, S Sengupta, T Chakraborti, AP Mishra, S Kambhampati Human–Computer Interaction 35 (5-6), 387-412, 2020 | 37 | 2020 |
| The design and development of the dragoon intelligent tutoring system for model construction: lessons learned J Wetzel, K VanLehn, D Butler, P Chaudhari, A Desai, J Feng, S Grover, ... Interactive Learning Environments 25 (3), 361-381, 2017 | 26 | 2017 |
| Learning science by constructing models: can dragoon increase learning without increasing the time required? K VanLehn, G Chung, S Grover, A Madni, J Wetzel International Journal of Artificial Intelligence in Education 26, 1033-1068, 2016 | 25 | 2016 |
| What can automated planning do for intelligent tutoring systems S Grover, T Chakraborti, S Kambhampati ICAPS SPARK, 2018 | 9 | 2018 |
| Heuristic search for physics-based problems: angry birds in PDDL+ W Piotrowski, Y Sher, S Grover, R Stern, S Mohan Proceedings of the International Conference on Automated Planning and …, 2023 | 7 | 2023 |
| ipass: A case study of the effectiveness of automated planning for decision support S Grover, S Sengupta, T Chakraborti, AP Mishra, S Kambhampati HCI Journal, 2019 | 7 | 2019 |
| Model elicitation through direct questioning S Grover, D Smith, S Kambhampati arXiv preprint arXiv:2011.12262, 2020 | 6 | 2020 |
| Compression of machine learned models G Strimel, S Grover US Patent 10,558,738, 2020 | 5 | 2020 |
| Learning how to construct models of dynamic systems: the effectiveness of the Dragoon intelligent tutoring system K VanLehn, J Wetzel, S Grover, B Van de Sande IEEE Transactions on Learning Technologies, 2016 | 5 | 2016 |
| A domain-independent agent architecture for adaptive operation in evolving open worlds S Mohan, W Piotrowski, R Stern, S Grover, S Kim, J Le, Y Sher, J de Kleer Artificial Intelligence, 104161, 2024 | 4 | 2024 |
| How should knowledge composed of schemas be represented in order to optimize student model accuracy? S Grover, J Wetzel, K VanLehn Artificial Intelligence in Education: 19th International Conference, AIED …, 2018 | 3 | 2018 |
| COVID-19 india dataset: Parsing detailed COVID-19 data in daily health bulletins from states in india M Agarwal, T Chakraborti, S Grover, A Chaudhary CoRR abs/2110.02311, URL https://arxiv. org/abs/2110.02311 v2, 2021 | 1 | 2021 |
| Self-adaptive Mission Planning using High-Fidelity Open World Simulation WM Piotrowski, J Chao, S Grover, R Stern, S Mohan, DS Lange ICAPS 2024 System's Demonstration track, 2024 | | 2024 |
| A Demonstration of Natural Language Understanding in Embodied Planning Agents S Grover, S Mohan ICAPS 2024 System's Demonstration track, 2024 | | 2024 |
| Self-monitoring Adaptive AI Agents Operating in Open Worlds W Piotrowski, R Stern, S Grover, S Mohan | | 2024 |
| Nyx: Planning for Emerging Problems with PDDL+ and Beyond W Piotrowski, A Perez, S Grover | | 2024 |
| Human Aware AI Methods for Active Teaming S Grover Arizona State University, 2022 | | 2022 |
Tathagata ChakrabortiIBM Research AIE-mail confirmado em ibm.com