Suraj Nair
Suraj Nair
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Cited by
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Neural task programming: Learning to generalize across hierarchical tasks
D Xu, S Nair, Y Zhu, J Gao, A Garg, L Fei-Fei, S Savarese
2018 IEEE International Conference on Robotics and Automation (ICRA), 3795-3802, 2018
Neural task graphs: Generalizing to unseen tasks from a single video demonstration
DA Huang, S Nair, D Xu, Y Zhu, A Garg, L Fei-Fei, S Savarese, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
RoboNet: Large-scale multi-robot learning
S Dasari, F Ebert, S Tian, S Nair, B Bucher, K Schmeckpeper, S Singh, ...
Conference on Robot Learning (CoRL), 2019
Reliable real‐time seismic signal/noise discrimination with machine learning
MA Meier, ZE Ross, A Ramachandran, A Balakrishna, S Nair, P Kundzicz, ...
Journal of Geophysical Research: Solid Earth 124 (1), 788-800, 2019
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation
S Nair, C Finn
2020 International Conference on Learning Representations (ICLR), 2019
Causal induction from visual observations for goal directed tasks
S Nair, Y Zhu, S Savarese, L Fei-Fei
arXiv preprint arXiv:1910.01751, 2019
Time reversal as self-supervision
S Nair, M Babaeizadeh, C Finn, S Levine, V Kumar
2020 IEEE International Conference on Robotics and Automation (ICRA), 1-7, 2018
Goal-aware prediction: Learning to model what matters
S Nair, S Savarese, C Finn
International Conference on Machine Learning, 7207-7219, 2020
Annotated reconstruction of 3D spaces using drones
S Nair, A Ramachandran, P Kundzicz
2017 IEEE MIT Undergraduate Research Technology Conference (URTC), 1-5, 2017
Recovery rl: Safe reinforcement learning with learned recovery zones
B Thananjeyan, A Balakrishna, S Nair, M Luo, K Srinivasan, M Hwang, ...
arXiv preprint arXiv:2010.15920, 2020
Model-Based Visual Planning with Self-Supervised Functional Distances
S Tian, S Nair, F Ebert, S Dasari, B Eysenbach, C Finn, S Levine
2021 International Conference on Learning Representations (ICLR), 2020
Batch Exploration with Examples for Scalable Robotic Reinforcement Learning
AS Chen, HJ Nam, S Nair, C Finn
arXiv preprint arXiv:2010.11917, 2020
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