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 | 644 | 2014 |
Integrated task and motion planning CR Garrett, R Chitnis, R Holladay, B Kim, T Silver, LP Kaelbling, ... Annual review of control, robotics, and autonomous systems 4 (1), 265-293, 2021 | 540 | 2021 |
Planning with learned object importance in large problem instances using graph neural networks T Silver, R Chitnis, A Curtis, JB Tenenbaum, T Lozano-Pérez, ... Proceedings of the AAAI conference on artificial intelligence 35 (13), 11962 …, 2021 | 95 | 2021 |
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 |
Learning symbolic operators for task and motion planning T Silver, R Chitnis, J Tenenbaum, LP Kaelbling, T Lozano-Pérez 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 92 | 2021 |
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 | 73 | 2020 |
PDDLGym: Gym environments from PDDL problems T Silver, R Chitnis arXiv preprint arXiv:2002.06432, 2020 | 72 | 2020 |
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 | 58 | 2015 |
Learning neuro-symbolic relational transition models for bilevel planning R Chitnis, T Silver, JB Tenenbaum, T Lozano-Perez, LP Kaelbling 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 56 | 2022 |
Variable-length word encodings for neural translation models R Chitnis, J DeNero Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 52 | 2015 |
Predicate invention for bilevel planning T Silver, R Chitnis, N Kumar, W McClinton, T Lozano-Pérez, L Kaelbling, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 12120 …, 2023 | 48 | 2023 |
Reinforcement learning for classical planning: Viewing heuristics as dense reward generators C Gehring, M Asai, R Chitnis, T Silver, L Kaelbling, S Sohrabi, M Katz Proceedings of the International Conference on Automated Planning and …, 2022 | 45 | 2022 |
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 | 42* | 2020 |
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 | 37 | 2019 |
Camps: Learning context-specific abstractions for efficient planning in factored mdps R Chitnis, T Silver, B Kim, L Kaelbling, T Lozano-Perez Conference on robot learning, 64-79, 2021 | 35 | 2021 |
Intrinsic motivation for encouraging synergistic behavior R Chitnis, S Tulsiani, S Gupta, A Gupta arXiv preprint arXiv:2002.05189, 2020 | 31 | 2020 |
Learning compact models for planning with exogenous processes R Chitnis, T Lozano-Pérez Conference on Robot Learning, 813-822, 2020 | 27 | 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 | 27 | 2016 |
Towards optimal correlational object search K Zheng, R Chitnis, Y Sung, G Konidaris, S Tellex 2022 International Conference on Robotics and Automation (ICRA), 7313-7319, 2022 | 25 | 2022 |
Inventing relational state and action abstractions for effective and efficient bilevel planning T Silver, R Chitnis, N Kumar, W McClinton, T Lozano-Perez, LP Kaelbling, ... arXiv preprint arXiv:2203.09634, 2022 | 22 | 2022 |