引用次数
引用: 5,350
H-指数: 18
I10-指数 : 22
出版物: 24
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation
Chelsea Finn , Suraj Nair
arXiv: Learning
88
2019
Causal Induction from Visual Observations for Goal Directed Tasks
Silvio Savarese , Li Fei-Fei , Yuke Zhu , Suraj Nair
arXiv: Learning
45
2019
RoboNet: Large-Scale Multi-Robot Learning.
Chelsea Finn , Sergey Levine , Suraj Nair , Frederik Ebert
arXiv: Robotics
143
2019
Goal-Aware Prediction: Learning to Model What Matters
Silvio Savarese , Chelsea Finn , Suraj Nair
international conference on machine learning 1 7207 -7219
43
2020
Model-Based Visual Planning with Self-Supervised Functional Distances
Chelsea Finn , Sergey Levine , Suraj Nair , Frederik Ebert
international conference on learning representations
31
2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction.
Li Fei-Fei , Roberto Martín-Martín , Chelsea Finn , Suraj Nair
arXiv: Computer Vision and Pattern Recognition
63
2021
Batch Exploration With Examples for Scalable Robotic Reinforcement Learning
Chelsea Finn , Suraj Nair , HyunJi Nam , Annie S. Chen
international conference on robotics and automation 6 ( 3) 4401 -4408
13
2021
Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones
Chelsea Finn , Ken Goldberg , Joseph E. Gonzalez , Julian Ibarz
international conference on robotics and automation 6 4915 -4922
106
2021
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos.
Chelsea Finn , Suraj Nair , Annie S. Chen
arXiv: Robotics
34
2021
Reliable Real-Time Seismic Signal/Noise Discrimination With Machine Learning
Men‐Andrin Meier , Zachary E. Ross , Anshul Ramachandran , Ashwin Balakrishna
Journal of Geophysical Research 124 ( 1) 788 -800
82
2019
Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration
De-An Huang , Suraj Nair , Danfei Xu , Yuke Zhu
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 8565 -8574
113
2019
Neural Task Programming: Learning to Generalize Across Hierarchical Tasks
Danfei Xu , Suraj Nair , Yuke Zhu , Julian Gao
2018 IEEE International Conference on Robotics and Automation (ICRA) 3795 -3802
178
2018
Annotated reconstruction of 3D spaces using drones
Suraj Nair , Anshul Ramachandran , Peter Kundzicz
2017 IEEE MIT Undergraduate Research Technology Conference (URTC)
2017
TRASS: Time Reversal as Self-Supervision
Suraj Nair , Mohammad Babaeizadeh , Chelsea Finn , Sergey Levine
2020 IEEE International Conference on Robotics and Automation (ICRA) 115 -121
20
2020
On the opportunities and risks of foundation models
Rishi Bommasani , Drew A Hudson , Ehsan Adeli , Russ Altman
arXiv preprint arXiv:2108.07258
726
2021
Learning language-conditioned robot behavior from offline data and crowd-sourced annotation
Suraj Nair , Eric Mitchell , Kevin Chen , Brian Ichter
Smpte Journal 1303 -1315
31
2022
Example-driven model-based reinforcement learning for solving long-horizon visuomotor tasks
Bohan Wu , Suraj Nair , Li Fei-Fei , Chelsea Finn
arXiv preprint arXiv:2109.10312
12
2021
R3m: A universal visual representation for robot manipulation
Suraj Nair , Aravind Rajeswaran , Vikash Kumar , Chelsea Finn
arXiv preprint arXiv:2203.12601
52
2022
Fitvid: Overfitting in pixel-level video prediction
Mohammad Babaeizadeh , Mohammad Taghi Saffar , Suraj Nair , Sergey Levine
arXiv preprint arXiv:2106.13195
28
2021
Mesa: Offline meta-rl for safe adaptation and fault tolerance
Michael Luo , Ashwin Balakrishna , Brijen Thananjeyan , Suraj Nair
arXiv preprint arXiv:2112.03575
2
2021