Papers with deep reinforcement learning agents

1 papers
Interactive Language Learning by Question Answering (D19-1)

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Challenge: Existing machine reading comprehension tasks lack interactive information-seeking component of comprehension.
Approach: They propose a question-asking task that asks questions in a text-based environment . they propose QAit, which uses a game generator to build models that include deep reinforcement learning agents.
Outcome: The proposed task poses questions about existence, location, and attributes of objects found in environment.

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