| Combined task and motion planning through an extensible planner-independent interface layer S Srivastava, E Fang, L Riano, R Chitnis, S Russell, P Abbeel 2014 IEEE International Conference on Robotics and Automation (ICRA), 639-646, 2014 | 651 | 2014 |
| Anonymizing social networks M Hay, G Miklau, D Jensen, P Weis, S Srivastava Computer science department faculty publication series, 180, 2007 | 520 | 2007 |
| Anonymizing social networks M Hay, G Miklau, D Jensen, P Weis, S Srivastava Computer Science Department Faculty Publication Series, 180, 2007 | 510 | 2007 |
| Learning Generalized Reactive Policies using Deep Neural Networks E Groshev, A Tamar, M Goldstein, S Srivastava, P Abbeel ICAPS, 2018 | 146 | 2018 |
| A new representation and associated algorithms for generalized planning S Srivastava, N Immerman, S Zilberstein Artificial Intelligence 175 (2), 615-647, 2011 | 114 | 2011 |
| Simulating reachability using first-order logic with applications to verification of linked data structures T Lev-Ami, N Immerman, T Reps, M Sagiv, S Srivastava, G Yorsh, ] Logical Methods in Computer Science 5, 2009 | 104 | 2009 |
| Platform-independent benchmarks for task and motion planning F Lagriffoul, NT Dantam, C Garrett, A Akbari, S Srivastava, LE Kavraki IEEE Robotics and Automation Letters 3 (4), 3765-3772, 2018 | 102 | 2018 |
| Hierarchical Expertise Level Modeling for User-Specific Contrastive Explanations S Sreedharan, S Srivastava, S Kambhampati IJCAI, 2018 | 101* | 2018 |
| Learning Generalized Plans Using Abstract Counting. S Srivastava, N Immerman, S Zilberstein AAAI 8, 991-997, 2008 | 97 | 2008 |
| Guided search for task and motion plans using learned heuristics R Chitnis, D Hadfield-Menell, A Gupta, S Srivastava, E Groshev, C Lin, ... 2016 IEEE International Conference on Robotics and Automation (ICRA), 447-454, 2016 | 95 | 2016 |
| Guided Search for Task and Motion Plans Using Learned Heuristics PA Rohan Chitnis, Dylan Hadfield-Menell, Abhishek Gupta, Siddharth ... ICRA, 2016 | 95* | 2016 |
| A unified framework for planning in adversarial and cooperative environments A Kulkarni, S Srivastava, S Kambhampati Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2479-2487, 2019 | 76 | 2019 |
| Why Can't You Do That HAL? Explaining Unsolvability of Planning Tasks S Sreedharan, S Srivastava, D Smith, S Kambhampati International Joint Conference on Artificial Intelligence, 2019 | 75 | 2019 |
| Markovian State and Action Abstractions for MDPs via Hierarchical MCTS. A Bai, S Srivastava, SJ Russell IJCAI, 3029-3039, 2016 | 67 | 2016 |
| Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning. R Karia, S Srivastava Proc. AAAI, 2021 | 57 | 2021 |
| Using classical planners for tasks with continuous operators in robotics S Srivastava, L Riano, S Russell, P Abbeel Intl. Conf. on Automated Planning and Scheduling, 2013 | 55 | 2013 |
| Qualitative numeric planning S Srivastava, S Zilberstein, N Immerman, H Geffner Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 1010-1016, 2011 | 50 | 2011 |
| Anytime integrated task and motion policies for stochastic environments N Shah, DK Vasudevan, K Kumar, P Kamojjhala, S Srivastava 2020 IEEE International Conference on Robotics and Automation (ICRA), 9285-9291, 2020 | 43 | 2020 |
| Directed search for generalized plans using classical planners S Srivastava, N Immerman, S Zilberstein, T Zhang Proceedings of the International Conference on Automated Planning and …, 2011 | 40 | 2011 |
| Asking the Right Questions: Learning Interpretable Action Models Through Query Answering P Verma, SR Marpally, S Srivastava Proc. AAAI, 2021 | 39 | 2021 |
Neil ImmermanCollege of Computer and Information Sciences, UMass, AmherstVerified email at cs.umass.edu
