no code implementations • 16 Mar 2022 • Sumeet Singh, Francis McCann Ramirez, Jacob Varley, Andy Zeng, Vikas Sindhwani
Though robot learning is often formulated in terms of discrete-time Markov decision processes (MDPs), physical robots require near-continuous multiscale feedback control.
1 code implementation • 29 Jul 2019 • Sumeet Singh, Spencer M. Richards, Vikas Sindhwani, Jean-Jacques E. Slotine, Marco Pavone
We propose a novel framework for learning stabilizable nonlinear dynamical systems for continuous control tasks in robotics.
1 code implementation • NAACL 2019 • Vaibhav Vaibhav, Sumeet Singh, Craig Stewart, Graham Neubig
Modern Machine Translation (MT) systems perform consistently well on clean, in-domain text.
no code implementations • 31 Jul 2018 • Sumeet Singh, Vikas Sindhwani, Jean-Jacques E. Slotine, Marco Pavone
We propose a novel framework for learning stabilizable nonlinear dynamical systems for continuous control tasks in robotics.
no code implementations • WS 2018 • Ch, Khyathi u, Thomas Manzini, Sumeet Singh, Alan W. black
Code-switching (CS), the practice of alternating between two or more languages in conversations, is pervasive in most multi-lingual communities.
1 code implementation • 28 Nov 2017 • Sumeet Singh, Jonathan Lacotte, Anirudha Majumdar, Marco Pavone
The literature on Inverse Reinforcement Learning (IRL) typically assumes that humans take actions in order to minimize the expected value of a cost function, i. e., that humans are risk neutral.