Memory-based reinforcement learning method for storing optional information in streaming data and system therefore스트리밍 데이터에서 선택적 정보 저장이 가능한 메모리 기반 강화 학습 방법 및 그 시스템

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Provided is a memory-based reinforcement learning method and system capable of storing optional information in streaming data. A question-answering (QA) method using memory-based reinforcement learning method includes receiving, in an episodic memory reader (EMR), streaming data about an input context that is input from a user; analyzing, in the EMR, the received streaming data and storing preset semantic information used for QA in an external memory; and, in response to an input of a question front the user, determining, in a pretrained QA model, an answer to the input question based on semantic information stored in the external memory.
Assignee
KAIST
Country
US (United States)
Application Date
2021-02-18
Application Number
17179178
Registration Date
2024-01-16
Registration Number
11875119
URI
http://hdl.handle.net/10203/319367
Appears in Collection
AI-Patent(특허)
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