| 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 | 356 | 2014 |
| Variable-length word encodings for neural translation models R Chitnis, J DeNero Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 35 | 2015 |
| 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 | 33 | 2016 |
| Modular task and motion planning in belief space D Hadfield-Menell, E Groshev, R Chitnis, P Abbeel 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 30 | 2015 |
| Learning quickly to plan quickly using modular meta-learning R Chitnis, LP Kaelbling, T Lozano-Pérez 2019 International Conference on Robotics and Automation (ICRA), 7865-7871, 2019 | 12 | 2019 |
| Integrated task and motion planning CR Garrett, R Chitnis, R Holladay, B Kim, T Silver, LP Kaelbling, ... arXiv preprint arXiv:2010.01083, 2020 | 10 | 2020 |
| Sequential quadratic programming for task plan optimization D Hadfield-Menell, C Lin, R Chitnis, S Russell, P Abbeel 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 9 | 2016 |
| Integrating human-provided information into belief state representation using dynamic factorization R Chitnis, LP Kaelbling, T Lozano-Pérez 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 8 | 2018 |
| PDDLGym: Gym environments from PDDL problems T Silver, R Chitnis arXiv preprint arXiv:2002.06432, 2020 | 6 | 2020 |
| Efficient bimanual manipulation using learned task schemas R Chitnis, S Tulsiani, S Gupta, A Gupta 2020 IEEE International Conference on Robotics and Automation (ICRA), 1149-1155, 2020 | 5 | 2020 |
| Learning compact models for planning with exogenous processes R Chitnis, T Lozano-Pérez Conference on Robot Learning, 813-822, 2020 | 5 | 2020 |
| Glib: Exploration via goal-literal babbling for lifted operator learning R Chitnis, T Silver, J Tenenbaum, LP Kaelbling, T Lozano-Perez arXiv preprint arXiv:2001.08299, 2020 | 5* | 2020 |
| Planning with learned object importance in large problem instances using graph neural networks T Silver, R Chitnis, A Curtis, J Tenenbaum, T Lozano-Perez, LP Kaelbling arXiv preprint arXiv:2009.05613, 2020 | 4 | 2020 |
| Intrinsic Motivation for Encouraging Synergistic Behavior R Chitnis, S Tulsiani, S Gupta, A Gupta arXiv preprint arXiv:2002.05189, 2020 | 3 | 2020 |
| Learning What Information to Give in Partially Observed Domains R Chitnis, LP Kaelbling, T Lozano-Pérez | 2 | 2018 |
| A unifying framework for social motivation in human-robot interaction A Wang, R Chitnis, M Li, LP Kaelbling, T Lozano-Pérez AAAI Workshop on Plan, Activity, and Intent Recognition (PAIR), 2020 | 1 | 2020 |
| Finding frequent entities in continuous data F Alet, R Chitnis, LP Kaelbling, T Lozano-Pérez arXiv preprint arXiv:1805.02874, 2018 | 1 | 2018 |
| Learning Symbolic Operators for Task and Motion Planning T Silver, R Chitnis, J Tenenbaum, LP Kaelbling, T Lozano-Perez arXiv preprint arXiv:2103.00589, 2021 | | 2021 |
| CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs R Chitnis, T Silver, B Kim, LP Kaelbling, T Lozano-Perez arXiv preprint arXiv:2007.13202, 2020 | | 2020 |
| Learning to Plan Under Variable Assistance R Chitnis, J Yu, L Luong, LP Kaelbling, T Lozano-Pérez | | 2019 |
