| PDDL planning with pretrained large language models T Silver, V Hariprasad, RS Shuttleworth, N Kumar, T Lozano-Pérez, ... NeurIPS 2022 Foundation Models for Decision Making Workshop, 2022 | 48 | 2022 |
| 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 | 40* | 2023 |
| Multi-Object Search using Object-Oriented POMDPs A Wandzel, Y Oh, M Fishman, N Kumar, S Tellex 2019 International Conference on Robotics and Automation (ICRA), 7194-7200, 2019 | 40 | 2019 |
| Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control J Chang, N Kumar, S Hastings, A Gokaslan, D Romeres, D Jha, ... arXiv preprint arXiv:1910.10628, 2019 | 13 | 2019 |
| Learning Efficient Abstract Planning Models that Choose What to Predict N Kumar, W McClinton, R Chitnis, T Silver, T Lozano-Pérez, LP Kaelbling Conference on Robot Learning, 2070-2095, 2023 | 10* | 2023 |
| Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes S Segal, N Kumar, S Casas, W Zeng, M Ren, J Wang, R Urtasun Conference on Robot Learning, 816-826, 2022 | 8* | 2022 |
| Task Scoping: Generating Task-Specific Simplifications of Open-Scope Planning Problems M Fishman, N Kumar, C Allen, N Danas, M Littman, S Tellex, G Konidaris PRL Workshop Series {\textendash} Bridging the Gap Between AI Planning and …, 2023 | 7* | 2023 |
| Pgmax: Factor graphs for discrete probabilistic graphical models and loopy belief propagation in jax G Zhou, A Dedieu, N Kumar, W Lehrach, M Lázaro-Gredilla, S Kushagra, ... arXiv preprint arXiv:2202.04110, 2022 | 7 | 2022 |
| Building Plannable Representations with Mixed Reality E Rosen, N Kumar, N Gopalan, D Ullman, G Konidaris, S Tellex Proceedings of the 2020 IEEE/RSJ International Conference on Intelligent …, 2020 | 5 | 2020 |
| Knowledge acquisition for robots through mixed reality head-mounted displays N Kumar, E Rosen, S Tellex | 2 | 2019 |
| Task Scoping for Efficient Planning in Open Worlds (Student Abstract) N Kumar, M Fishman, N Danas, S Tellex, M Littman, G Konidaris Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13845 …, 2020 | 1 | 2020 |
| The Past and Present of Imitation Learning: A Citation Chain Study N Kumar arXiv preprint arXiv:2001.02328, 2020 | 1 | 2020 |
| Practice Makes Perfect: Planning to Learn Skill Parameter Policies N Kumar, T Silver, W McClinton, L Zhao, S Proulx, T Lozano-Pérez, ... arXiv preprint arXiv:2402.15025, 2024 | | 2024 |
| Preference-Conditioned Language-Guided Abstraction A Peng, A Bobu, BZ Li, TR Sumers, I Sucholutsky, N Kumar, TL Griffiths, ... arXiv preprint arXiv:2402.03081, 2024 | | 2024 |
| Bilevel Planning for Robots: An Illustrated Introduction N Kumar, W McClinton, K Le, T Silver https://lis.csail.mit.edu/bilevel-planning-for-robots-an-illustrated …, 2023 | | 2023 |
| You Only Need What’s in Scope: Generating Task-Specific Abstractions for Efficient AI Planning N Kumar School of Engineering, Brown University, 2021 | | 2021 |
| Leveraging Classical Planning for Automatic Reward Densification N Kumar, W McClinton, V Parimi | | |
Stefanie TellexBrown UniversityVerified email at cs.brown.edu
