| Roboturk: A crowdsourcing platform for robotic skill learning through imitation A Mandlekar, Y Zhu, A Garg, J Booher, M Spero, A Tung, J Gao, ... Conference on Robot Learning, 879-893, 2018 | 55 | 2018 |
| Adversarially robust policy learning: Active construction of physically-plausible perturbations A Mandlekar, Y Zhu, A Garg, L Fei-Fei, S Savarese 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 50 | 2017 |
| Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models. A Majumdar, S Singh, A Mandlekar, M Pavone Robotics: Science and Systems 16, 117, 2017 | 41 | 2017 |
| Adversarially robust policy learning: Active construction of physically-plausible perturbations. In 2017 IEEE A Mandlekar, Y Zhu, A Garg, L Fei-Fei, S Savarese RSJ International Conference on Intelligent Robots and Systems (IROS), 3932-3939, 0 | 16 | |
| Iris: Implicit reinforcement without interaction at scale for learning control from offline robot manipulation data A Mandlekar, F Ramos, B Boots, S Savarese, L Fei-Fei, A Garg, D Fox 2020 IEEE International Conference on Robotics and Automation (ICRA), 4414-4420, 2020 | 12 | 2020 |
| Controlling assistive robots with learned latent actions DP Losey, K Srinivasan, A Mandlekar, A Garg, D Sadigh 2020 IEEE International Conference on Robotics and Automation (ICRA), 378-384, 2020 | 12 | 2020 |
| Scaling robot supervision to hundreds of hours with roboturk: Robotic manipulation dataset through human reasoning and dexterity A Mandlekar, J Booher, M Spero, A Tung, A Gupta, Y Zhu, A Garg, ... arXiv preprint arXiv:1911.04052, 2019 | 10 | 2019 |
| Multi-dimensional optimization of a terawatt seeded tapered free electron laser with a multi-objective genetic algorithm J Wu, N Hu, H Setiawan, X Huang, TO Raubenheimer, Y Jiao, G Yu, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2017 | 10 | 2017 |
| Ac-teach: A bayesian actor-critic method for policy learning with an ensemble of suboptimal teachers A Kurenkov, A Mandlekar, R Martin-Martin, S Savarese, A Garg arXiv preprint arXiv:1909.04121, 2019 | 9 | 2019 |
| robosuite: A modular simulation framework and benchmark for robot learning Y Zhu, J Wong, A Mandlekar, R Martín-Martín arXiv preprint arXiv:2009.12293, 2020 | 7 | 2020 |
| Learning to generalize across long-horizon tasks from human demonstrations A Mandlekar, D Xu, R Martín-Martín, S Savarese, L Fei-Fei arXiv preprint arXiv:2003.06085, 2020 | 6 | 2020 |
| Adversarially robust policy learning through active construction of physically-plausible perturbations A Mandlekar, Y Zhu, A Garg, L Fei-Fei, S Savarese IEEE Int’l Conf. on Intelligent Robots and Systems (IROS) 16, 2017 | 3 | 2017 |
| Human-in-the-Loop Imitation Learning using Remote Teleoperation A Mandlekar, D Xu, R Martín-Martín, Y Zhu, L Fei-Fei, S Savarese arXiv preprint arXiv:2012.06733, 2020 | 1 | 2020 |
| Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control C Wang, R Wang, D Xu, A Mandlekar, L Fei-Fei, S Savarese arXiv preprint arXiv:2103.00375, 2021 | | 2021 |
| Learning Multi-Arm Manipulation Through Collaborative Teleoperation A Tung, J Wong, A Mandlekar, R Martín-Martín, Y Zhu, L Fei-Fei, ... arXiv preprint arXiv:2012.06738, 2020 | | 2020 |
| Deep Affordance Foresight: Planning Through What Can Be Done in the Future D Xu, A Mandlekar, R Martín-Martín, Y Zhu, S Savarese, L Fei-Fei arXiv preprint arXiv:2011.08424, 2020 | | 2020 |
| Sparse Estimation of Movie Preferences via Constrained Optimization A Anemogiannis, A Mandlekar, M Tsao | | 2016 |
| Optimization of a Terawatt Free Electron Laser P Chu, J Qiang, X Huang, Y Jiao, AU Mandlekar, TO Raubenheimer, ... Conf. Proc. C1205201: 1780-1782, 2012, 2013 | | 2013 |
| Machine Comprehension using SQuAD and Deep Learning J King, A Mandlekar, F Ranalli | | |
| OPTIMIZATION OF A TERAWATT FREE ELECTRON LASER X Huang, J Wu, TO Raubenheimer, Y Jiao, S Spampinati, A Mandlekar, ... | | |
