Analyzing Language Learned by an Active Question Answering Agent

PDF #136 – Analyzing Language Learned by an Active Question Answering Agent

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.

After reading “Learning an L2 in a troubled world” you can check important issues for ESL teachers on the section PDFs, and visit my YouTube channel.