13 citations · 19 across the 3 of their papers we have counts for
4 papers
Learning Robot Skills with Temporal Variational Inference
Tanmay Shankar, Abhinav Gupta
In this paper, we address the discovery of robotic options from demonstrations in an unsupervised manner. Specifically, we present a framework to jointly learn low-level control po…
Learning Neural Parsers with Deterministic Differentiable Imitation Learning
Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling +1
We explore the problem of learning to decompose spatial tasks into segments, as exemplified by the problem of a painting robot covering a large object. Inspired by the ability of c…
Learning to Sequence Robot Behaviors for Visual Navigation
Hadi Salman, Puneet Singhal, Tanmay Shankar +6
Recent literature in the robotics community has focused on learning robot behaviors that abstract out lower-level details of robot control. To fully leverage the efficacy of such b…
Reinforcement Learning via Recurrent Convolutional Neural Networks
Tanmay Shankar, Santosha K. Dwivedy, Prithwijit Guha
Deep Reinforcement Learning has enabled the learning of policies for complex tasks in partially observable environments, without explicitly learning the underlying model of the tas…