822 citations · 2.9k across the 43 of their papers we have counts for
3 papers · 1 filter
Grounding Language for Transfer in Deep Reinforcement Learning
Karthik Narasimhan, Regina Barzilay, Tommi Jaakkola
In this paper, we explore the utilization of natural language to drive transfer for reinforcement learning (RL). Despite the wide-spread application of deep RL techniques, learning…
Representation Learning for Grounded Spatial Reasoning
Michael Janner, Karthik Narasimhan, Regina Barzilay
The interpretation of spatial references is highly contextual, requiring joint inference over both language and the environment. We consider the task of spatial reasoning in a simu…
Unsupervised Learning of Morphological Forests
Jiaming Luo, Karthik Narasimhan, Regina Barzilay
This paper focuses on unsupervised modeling of morphological families, collectively comprising a forest over the language vocabulary. This formulation enables us to capture edgewis…