Learning to Follow Orders: Reinforcement Learning for Mapping Instructions to Actions
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If you have a question about this talk, please contact Laura Rimell.
In this talk, I will address the problem of relating linguistic
analysis and control—- specifically, mapping natural language
instructions to executable actions. I will present a reinforcement
learning algorithm for inducing these mappings by interacting with
virtual computer environments and observing the outcome of the
executed actions. This technique has enabled automation of tasks that
until now have required human participation—- for example,
automatically configuring software by consulting how-to guides. Our
results demonstrate that this method can rival supervised learning
techniques while requiring few or no annotated training examples.
This is joint work with Branavan, Harr Chen and Regina Barzilay.
This talk is part of the NLIP Seminar Series series.
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