Avi Singh
Avi Singh
Google Brain
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Cited by
Cited by
Visual dialog
A Das, S Kottur, K Gupta, A Singh, D Yadav, JMF Moura, D Parikh, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
Recurrent neural networks for driver activity anticipation via sensory-fusion architecture
A Jain, A Singh, HS Koppula, S Soh, A Saxena
2016 IEEE International Conference on Robotics and Automation (ICRA), 3118-3125, 2016
End-to-End Robotic Reinforcement Learning without Reward Engineering
A Singh, L Yang, K Hartikainen, C Finn, S Levine
RSS 2019, 2019
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
The Ingredients of Real-World Robotic Reinforcement Learning
H Zhu, J Yu, A Gupta, D Shah, K Hartikainen, A Singh, V Kumar, S Levine
International Conference on Learning Representations (ICLR), 2020
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition
J Fu, A Singh, D Ghosh, L Yang, S Levine
NIPS 2018, 2018
Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture
A Jain, HS Koppula, S Soh, B Raghavan, A Singh, A Saxena
IJRR, 2016
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
A Singh, H Liu, G Zhou, A Yu, N Rhinehart, S Levine
International Conference on Learning Representations (ICLR), 2020
Divide-and-Conquer Reinforcement Learning
D Ghosh, A Singh, A Rajeswaran, V Kumar, S Levine
ICLR 2018, 2017
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
A Singh, A Yu, J Yang, J Zhang, A Kumar, S Levine
Conference on Robot Learning (CoRL), 2020
Few-Shot Goal Inference for Visuomotor Learning and Planning
A Xie, A Singh, S Levine, C Finn
CoRL 2018, 2018
i-sim2real: Reinforcement learning of robotic policies in tight human-robot interaction loops
SW Abeyruwan, L Graesser, DB D’Ambrosio, A Singh, A Shankar, ...
Conference on Robot Learning, 212-224, 2023
Scalable multi-task imitation learning with autonomous improvement
A Singh, E Jang, A Irpan, D Kappler, M Dalal, S Levinev, M Khansari, ...
2020 IEEE International Conference on Robotics and Automation (ICRA), 2167-2173, 2020
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
A Singh, JD Co-Reyes, R Agarwal, A Anand, P Patil, PJ Liu, J Harrison, ...
arXiv preprint arXiv:2312.06585, 2023
Don’t start from scratch: Leveraging prior data to automate robotic reinforcement learning
HR Walke, JH Yang, A Yu, A Kumar, J Orbik, A Singh, S Levine
Conference on Robot Learning, 1652-1662, 2023
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled Images
A Singh, L Yang, S Levine
ICCV 2017, 2017
Many-Shot In-Context Learning
R Agarwal, A Singh, LM Zhang, B Bohnet, S Chan, A Anand, Z Abbas, ...
arXiv preprint arXiv:2404.11018, 2024
Improving Large Language Model Fine-tuning for Solving Math Problems
Y Liu, A Singh, CD Freeman, JD Co-Reyes, PJ Liu
arXiv preprint arXiv:2310.10047, 2023
Visual backtracking teleoperation: A data collection protocol for offline image-based reinforcement learning
D Brandfonbrener, S Tu, A Singh, S Welker, C Boodoo, N Matni, J Varley
2023 IEEE International Conference on Robotics and Automation (ICRA), 11336 …, 2023
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