822 citations · 2.4k across the 23 of their papers we have counts for
Showing 2015Show all
2 papers · 1 filter
cs.CL2015★ 104 cited
Language Understanding for Text-based Games Using Deep Reinforcement Learning
Karthik Narasimhan, Tejas Kulkarni, Regina Barzilay
In this paper, we consider the task of learning control policies for text-based games. In these games, all interactions in the virtual world are through text and the underlying sta…
cs.CV2015★ 747 cited
Deep Convolutional Inverse Graphics Network
Tejas D. Kulkarni, Will Whitney, Pushmeet Kohli +1
This paper presents the Deep Convolution Inverse Graphics Network (DC-IGN), a model that learns an interpretable representation of images. This representation is disentangled with…