Analyzing Language Learned by an Active Question Answering Agent
arXiv: Computation and Language, Volume abs/1801.07537, 2017.
We analyze the language learned by an agent trained with reinforcement learning as a component of the ActiveQA system [Buck et al., 2017]. In ActiveQA, question answering is framed as a reinforcement learning task in which an agent sits between the user and a black box question-answering system. The agent learns to reformulate the useru00...More
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