| 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, 265-293, 2021 | 268 | 2021 |
| Socially adaptive path planning in human environments using inverse reinforcement learning B Kim, J Pineau International Journal of Social Robotics 8, 51-66, 2016 | 236 | 2016 |
| Learning from limited demonstrations B Kim, A Farahmand, J Pineau, D Precup Advances in Neural Information Processing Systems 26, 2013 | 128 | 2013 |
| Learning to guide task and motion planning using score-space representation B Kim, Z Wang, LP Kaebling, T Lozano-Perez The International Journal of Robotics Research 28 (7), 2019 | 84 | 2019 |
| Maximum Mean Discrepancy Imitation Learning B Kim, J Pineau Robotics: Science and Systems, 2013 | 53 | 2013 |
| Monte carlo tree search in continuous spaces using voronoi optimistic optimization with regret bounds B Kim, K Lee, S Lim, L Kaelbling, T Lozano-Pérez Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 9916-9924, 2020 | 36 | 2020 |
| Regret bounds for meta bayesian optimization with an unknown gaussian process prior Z Wang, B Kim, LP Kaelbling Advances in Neural Information Processing Systems 31, 2018 | 36 | 2018 |
| Guiding Search in Continuous State-action Spaces by Learning an Action Sampler from Off-target Search Experience B Kim, LP Kaelbling, T Lozano-Pérez AAAI Conference on Artificial Intelligence, 2018 | 34 | 2018 |
| Learning value functions with relational state representations for guiding task-and-motion planning B Kim, L Shimanuki Conference on Robot Learning, 955-968, 2020 | 31 | 2020 |
| A long horizon planning framework for manipulating rigid pointcloud objects A Simeonov, Y Du, B Kim, F Hogan, J Tenenbaum, P Agrawal, ... Conference on Robot Learning, 1582-1601, 2021 | 27 | 2021 |
| 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 | 26 | 2021 |
| Adversarial actor-critic method for task and motion planning problems using planning experience B Kim, LP Kaelbling, T Lozano-Pérez Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8017-8024, 2019 | 20 | 2019 |
| Representation, learning, and planning algorithms for geometric task and motion planning B Kim, L Shimanuki, LP Kaelbling, T Lozano-Pérez The International Journal of Robotics Research 41 (2), 210-231, 2022 | 14 | 2022 |
| Human-like navigation: Socially adaptive path planning in dynamic environments B Kim, J Pineau RSS 2013 workshop on inverse optimal control and robotic learning from …, 2013 | 12 | 2013 |
| Generalizing over uncertain dynamics for online trajectory generation B Kim, A Kim, H Dai, L Kaelbling, T Lozano-Perez Robotics Research: Volume 2, 39-55, 2018 | 6 | 2018 |
| Guiding the search in continuous state-action spaces by learning an action sampling distribution from off-target samples B Kim, LP Kaelbling, T Lozano-Perez arXiv preprint arXiv:1711.01391, 2017 | 2 | 2017 |
| Local object crop collision network for efficient simulation of non-convex objects in GPU-based simulators D Son, B Kim arXiv preprint arXiv:2304.09439, 2023 | 1 | 2023 |
| Ohm^2: Optimal hierarchical planner for object search in large environments via mobile manipulation Y Cho, D Shin, B Kim IEEE RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 | 1 | 2022 |
| Learning to plan with pointcloud affordances for general-purpose dexterous manipulation A Simeonov, Y Du, B Kim, FR Hogan, P Agrawal, A Rodriguez Conference on Robot Learning, 2020 | 1 | 2020 |
| Approximate Policy Iteration with Demonstration Data B Kim, A Farahmand, J Pineau, D Precup RLDM 2013, 168, 2013 | 1 | 2013 |
Leslie KaelblingVerified email at csail.mit.edu
