Shikhar Bahl
Cited by
Cited by
Visual reinforcement learning with imagined goals
AV Nair, V Pong, M Dalal, S Bahl, S Lin, S Levine
Advances in neural information processing systems 31, 2018
Residual reinforcement learning for robot control
T Johannink, S Bahl, A Nair, J Luo, A Kumar, M Loskyll, JA Ojea, ...
2019 international conference on robotics and automation (ICRA), 6023-6029, 2019
Skew-fit: State-covering self-supervised reinforcement learning
VH Pong, M Dalal, S Lin, A Nair, S Bahl, S Levine
arXiv preprint arXiv:1903.03698, 2019
Deep reinforcement learning for industrial insertion tasks with visual inputs and natural rewards
G Schoettler, A Nair, J Luo, S Bahl, JA Ojea, E Solowjow, S Levine
arXiv preprint arXiv:1906.05841, 2019
Open x-embodiment: Robotic learning datasets and rt-x models
A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ...
arXiv preprint arXiv:2310.08864, 2023
Human-to-robot imitation in the wild
S Bahl, A Gupta, D Pathak
arXiv preprint arXiv:2207.09450, 2022
Contextual imagined goals for self-supervised robotic learning
A Nair, S Bahl, A Khazatsky, V Pong, G Berseth, S Levine
Conference on Robot Learning, 530-539, 2020
Neural dynamic policies for end-to-end sensorimotor learning
S Bahl, M Mukadam, A Gupta, D Pathak
Advances in Neural Information Processing Systems 33, 5058-5069, 2020
Affordances from human videos as a versatile representation for robotics
S Bahl, R Mendonca, L Chen, U Jain, D Pathak
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Videodex: Learning dexterity from internet videos
K Shaw, S Bahl, D Pathak
Conference on Robot Learning, 654-665, 2023
Structured world models from human videos
R Mendonca, S Bahl, D Pathak
arXiv preprint arXiv:2308.10901, 2023
Hierarchical neural dynamic policies
S Bahl, A Gupta, D Pathak
arXiv preprint arXiv:2107.05627, 2021
Playfusion: Skill acquisition via diffusion from language-annotated play
L Chen, S Bahl, D Pathak
Conference on Robot Learning, 2012-2029, 2023
Rb2: Robotic manipulation benchmarking with a twist
S Dasari, J Wang, J Hong, S Bahl, Y Lin, A Wang, A Thankaraj, K Chahal, ...
arXiv preprint arXiv:2203.08098, 2022
Alan: Autonomously exploring robotic agents in the real world
R Mendonca, S Bahl, D Pathak
2023 IEEE International Conference on Robotics and Automation (ICRA), 3044-3050, 2023
Impact on inequities in health indicators: Effect of implementing the integrated management of neonatal and childhood illness programme in Haryana, India
S Taneja, S Bahl, S Mazumder, J Martines, N Bhandari, MK Bhan
Journal of global health 5 (1), 2015
Open x-embodiment: Robotic learning datasets and RT-x models
Q Vuong, S Levine, HR Walke, K Pertsch, A Singh, R Doshi, C Xu, J Luo, ...
Towards Generalist Robots: Learning Paradigms for Scalable Skill Acquisition …, 2023
Deft: Dexterous fine-tuning for real-world hand policies
A Kannan, K Shaw, S Bahl, P Mannam, D Pathak
arXiv preprint arXiv:2310.19797, 2023
Efficient RL via disentangled environment and agent representations
K Gmelin, S Bahl, R Mendonca, D Pathak
arXiv preprint arXiv:2309.02435, 2023
Learning dexterity from human hand motion in internet videos
K Shaw, S Bahl, A Sivakumar, A Kannan, D Pathak
The International Journal of Robotics Research, 02783649241227559, 2024
The system can't perform the operation now. Try again later.
Articles 1–20