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Reinforcement Learning for Mapping Instructions to Actions
(Association for Computational Linguistics, 2009-08)
In this paper, we present a reinforcement learning approach for mapping natural language instructions to sequences of executable actions. We assume access to a reward function that defines the quality of the executed ...