引用次数
引用: 2,780
H-指数: 15
I10-指数 : 15
出版物: 18
Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture
Hema Swetha Koppula , Bharad Raghavan , Shane Soh , Ashesh Jain
arXiv: Robotics
104
2016
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled Images
Sergey Levine , Avi Singh , Larry Yang
arXiv: Learning
29
2017
Few-Shot Goal Inference for Visuomotor Learning and Planning
Chelsea Finn , Sergey Levine , Avi Singh , Annie Xie
arXiv: Learning
64
2018
Visual Dialog
Abhishek Das , Satwik Kottur , Khushi Gupta , Avi Singh
IEEE Transactions on Pattern Analysis and Machine Intelligence
883
2019
Divide-and-Conquer Reinforcement Learning
Sergey Levine , Vikash Kumar , Avi Singh , Aravind Rajeswaran
international conference on learning representations
105
2018
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition
Sergey Levine , Avi Singh , Justin Fu , Larry Yang
neural information processing systems 31 8538 -8547
100
2018
End-To-End Robotic Reinforcement Learning without Reward Engineering.
Avi Singh , Larry Yang , Kristian Hartikainen , Chelsea Finn
robotics: science and systems 15
209
2019
The Ingredients of Real-World Robotic Reinforcement Learning
Sergey Levine , Vikash Kumar , Avi Singh , Abhishek Gupta
arXiv: Learning
111
2020
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning.
Sergey Levine , Avi Singh , Jonathan Yang , Albert Yu
arXiv: Learning
57
2020
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
Sergey Levine , Avi Singh , Nicholas Rhinehart , Albert Yu
international conference on learning representations
73
2021
Recurrent Neural Networks for driver activity anticipation via sensory-fusion architecture
Ashesh Jain , Avi Singh , Hema S Koppula , Shane Soh
international conference on robotics and automation 3118 -3125
264
2016
Scalable Multi-Task Imitation Learning with Autonomous Improvement
Avi Singh , Eric Jang , Alexander Irpan , Daniel Kappler
2020 IEEE International Conference on Robotics and Automation (ICRA) 2167 -2173
26
2020
Beyond human data: Scaling self-training for problem-solving with language models
Avi Singh , John D Co-Reyes , Rishabh Agarwal , Ankesh Anand
arXiv preprint arXiv:2312.06585
29
2023
Improving large language model fine-tuning for solving math problems
Yixin Liu , Avi Singh , C Daniel Freeman , John D Co-Reyes
arXiv preprint arXiv:2310.10047
6
2023
Don’t start from scratch: Leveraging prior data to automate robotic reinforcement learning
Homer Rich Walke , Jonathan Heewon Yang , Albert Yu , Aviral Kumar
Conference on Robot Learning 1652 -1662
25
2023
i-sim2real: Reinforcement learning of robotic policies in tight human-robot interaction loops
Saminda Wishwajith Abeyruwan , Laura Graesser , David B D’Ambrosio , Avi Singh
Conference on Robot Learning 212 -224
35
2023
Many-Shot In-Context Learning
Rishabh Agarwal , Avi Singh , Lei M Zhang , Bernd Bohnet
arXiv preprint arXiv:2404.11018
2
2024
Visual backtracking teleoperation: A data collection protocol for offline image-based reinforcement learning
David Brandfonbrener , Stephen Tu , Avi Singh , Stefan Welker
2023 IEEE International Conference on Robotics and Automation (ICRA) 11336 -11342
7
2023