강화학습 연구에서 연속적인 데이터들을 바로 학습에 이용할 경우 특정한 학습 패턴에 갇히게 되는 문제가 발생한다. 이를 해결하기 위해 심층 큐 네트워크(Deep Q-Network; DQN)알고리즘에서는 리플레이 메모리를 이용하여 데이터를 바로 학습시키지 않고 메모리에 저장해 두었다가 랜덤으로 꺼내서 학습하는 방식으로 해결하였다. 이 논문은 DQN 알고리즘을 기반으로 단일 환경이 아닌 가상의 환경을 추가로 구축하고 이로부터 얻은 데이터들을 학습에 이용함으로써 높은 보상에 빠르게 수렴한다.
KSP Keywords
Deep Q-Network
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