Sumedh A. Sontakke

According to our database, Sumedh A. Sontakke authored at least 12 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Lightweight Learner for Shared Knowledge Lifelong Learning.

Yunhao Ge, Yuecheng Li, Di Wu, Ao Xu, Adam M. Jones, Amanda Sofie Rios, Iordanis Fostiropoulos, Shixian Wen, Po-Hsuan Huang, Zachary William Murdock, Gozde Sahin, Shuo Ni, Kiran Lekkala, Sumedh Anand Sontakke, Laurent Itti

Trans. Mach. Learn. Res., 2023

Value Explicit Pretraining for Goal-Based Transfer Learning.

Kiran Lekkala, Henghui Bao, Sumedh Sontakke, Laurent Itti

CoRR, 2023

RT-1: Robotics Transformer for Real-World Control at Scale.

Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Joseph Dabis, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Tomas Jackson, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Kuang-Huei Lee, Sergey Levine, Yao Lu, Utsav Malla, Deeksha Manjunath, Igor Mordatch, Ofir Nachum, Carolina Parada, Jodilyn Peralta, Emily Perez, Karl Pertsch, Jornell Quiambao, Kanishka Rao, Michael S. Ryoo, Grecia Salazar, Pannag R. Sanketi, Kevin Sayed, Jaspiar Singh, Sumedh Sontakke, Austin Stone, Clayton Tan, Huong T. Tran, Vincent Vanhoucke, Steve Vega, Quan Vuong, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

RoboCLIP: One Demonstration is Enough to Learn Robot Policies.

Sumedh Sontakke, Jesse Zhang, Sébastien M. R. Arnold, Karl Pertsch, Erdem Biyik, Dorsa Sadigh, Chelsea Finn, Laurent Itti

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions.

Yevgen Chebotar, Quan Vuong, Karol Hausman, Fei Xia, Yao Lu, Alex Irpan, Aviral Kumar, Tianhe Yu, Alexander Herzog, Karl Pertsch, Keerthana Gopalakrishnan, Julian Ibarz, Ofir Nachum, Sumedh Anand Sontakke, Grecia Salazar, Huong T. Tran, Jodilyn Peralta, Clayton Tan, Deeksha Manjunath, Jaspiar Singh, Brianna Zitkovich, Tomas Jackson, Kanishka Rao, Chelsea Finn, Sergey Levine

Proceedings of the Conference on Robot Learning, 2023

2022

Model2Detector: Widening the Information Bottleneck for Out-of-Distribution Detection using a Handful of Gradient Steps.

Sumedh A. Sontakke, Buvaneswari Ramanan, Laurent Itti, Thomas Woo

CoRR, 2022

SHERLock: Self-Supervised Hierarchical Event Representation Learning.

S. Roychowdhury, Sumedh A. Sontakke, Laurent Itti, M. Sarkar, M. Aggarwal, Pinkesh Badjatiya, Nikaash Puri, Balaji Krishnamurthy

Proceedings of the 26th International Conference on Pattern Recognition, 2022

GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL.

Sumedh A. Sontakke, Stephen Iota, Zizhao Hu, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms.

Sumedh A. Sontakke, Sumegh Roychowdhury, Mausoom Sarkar, Nikaash Puri, Balaji Krishnamurthy, Laurent Itti

CoRR, 2021

Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning.

Sumedh A. Sontakke, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Unsupervised Hierarchical Concept Learning.

Sumegh Roychowdhury, Sumedh A. Sontakke, Nikaash Puri, Mausoom Sarkar, Milan Aggarwal, Pinkesh Badjatiya, Balaji Krishnamurthy, Laurent Itti

CoRR, 2020

2018

Classification of Cardiotocography Signals Using Machine Learning.

Sumedh Anand Sontakke, Jay Lohokare, Reshul Dani, Pranav Shivagaje

Proceedings of the Intelligent Systems and Applications, 2018