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architecture breath-first search cloud computing consolidation correlation coefficient deep learning deep reinforcement learning Digital Gross Photography System direction-optimizing BFS disaster response distributed deep learning edge computing federated learning file systems GPU gradient sparsification graph Hadoop Hadoop MapReduce heterogeneous environment imitation learning interfacing layer overlapping MLOps Publish-subscribe paradigm RDFS Reasoning reinforcement learning rule engine software-defined networking System heterogeneity

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2023

4.

이재현,; 정현석,; 오상윤,

VM 배치를 위한 DDQN 기반 태스크 스케줄링 알고리즘
🇰🇷 DomesticConference

2023년도 한국통신학회 하계종합학술발표회 , 한국통신학회 2023.

Links | BibTeX | 태그: deep reinforcement learning

2021

3.

여상호,; 이승준,; 오상윤,

도시 재난 대응을 위한 Multi Objective 강화학습 모델 설계
🇰🇷 DomesticConference

2021 한국차세대컴퓨팅학회 춘계학술대회, 한국차세대컴퓨팅학회, 2021.

Links | BibTeX | 태그: deep reinforcement learning, disaster response, reinforcement learning

2020

2.

Yeo, Sangho; Lee, Seungjun; Choi, Boreum; Oh, Sangyoon

Integrate multi-agent simulation environment and multi-agent reinforcement learning (MARL) for real-world scenario
🌏 InternationalConference

2020 International Conference on Information and Communication Technology Convergence (ICTC), IEEE 2020.

Links | BibTeX | 태그: deep reinforcement learning, MARL, multi agentsimulation

1.

Yeo, Sangho; Oh, Sangyoon; Lee, Minsu

Accelerated deep reinforcement learning with efficient demonstration utilization techniques
🌏 InternationalJournal Article

In: World Wide Web, pp. 1–23, 2020.

Links | BibTeX | 태그: deep reinforcement learning, imitation learning, reinforcement learning