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cs.CL2017★ 1 cited
Visual Reasoning with Natural Language
Stephanie Zhou, Alane Suhr, Yoav Artzi
Natural language provides a widely accessible and expressive interface for robotic agents. To understand language in complex environments, agents must reason about the full range o…
cs.CL2017
Simple Recurrent Units for Highly Parallelizable Recurrence
Tao Lei, Yu Zhang, Sida I. Wang +2
Common recurrent neural architectures scale poorly due to the intrinsic difficulty in parallelizing their state computations. In this work, we propose the Simple Recurrent Unit (SR…
cs.CL2017
Mapping Instructions and Visual Observations to Actions with Reinforcement Learning
Dipendra Misra, John Langford, Yoav Artzi
We propose to directly map raw visual observations and text input to actions for instruction execution. While existing approaches assume access to structured environment representa…