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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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