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| Deep reinforcement learning for swarm robot autonomous behaviors = 군집 로봇의 자율적 행동을 위한 강화 학습 기법link Baek, Jeong In; Hyun, Soon J.; et al, 한국과학기술원, 2020 |
| Deep Reinforcement Learning Framework for Optimal Decoupling Capacitor Placement on General PDN with an Arbitrary Probing Port Kim, Haeyeon; Kim, Joungho; Park, Hyunwook; Choi, Seonguk; Park, Joonsang; Kim, SeongGuk, 30th IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2021, IEEE, 2021-10-17 |
| Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling Lee, Kyowoon; Kim, Sol-A; Choi, Jaesik; Lee, Seong-Whan, The 35th International Conference on Machine Learning (ICML 2018), pp.2937 - 2946, ICML, 2018-07-11 |
| Deep Reinforcement Learning on Multi-goal Sparse Reward Environment: A Brief Survey Luu, Tung M.; 유창동, 2019 한국인공지능학회 추계학술대회, 한국인공지능학회, 2019-11-15 |
| Deep reinforcement learning using time-series data for collision avoidance of UAV in high-speed environments = 무인기 고속 운용 환경에서의 충돌 회피 기동을 위한 시계열 데이터 기반 심층 강화학습 연구link Lim, Chulsoo; 임철수; et al, 한국과학기술원, 2023 |
| Deep Reinforcement Learning With a Look-Ahead Search for Robotic Cell Scheduling Kim, Hyun-Jung; Lee, Jun-Ho, IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, v.54, no.1, pp.622 - 633, 2024-01 |
| Deep Reinforcement Learning with Fully Convolutional Neural Network to Solve An Earthwork Scheduling Problem Woo, Seongcheol; Yeon, Juneyeong; Ji, Mingi; Moon, Il-Chul; Park, Jinkyoo, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.4230 - 4236, IEEE Conference on System, Man, and Cybernetics, 2018-10-07 |
| Deep reinforcement learning(DRL)-based hybrid bonding TSV design optimization method for next generation high bandwidth memory (HBM) = 심층 강화학습 기반의 고대역폭 메모리를 위한 하이브리드 본딩 관통 실리콘 비아 설계 최적화 방법론link Jeong, Hwijo; Kim, Joungho; et al, 한국과학기술원, 2023 |
| Deep Reinforcement Learning-based Channel-flexible Equalization Scheme: An Application to High Bandwidth Memory Choi, Seonguk; Kim, Joungho; Park, Hyunwook; Kim, Haeyeon; Park, Joonsang; Son, Keeyoung; Kim, SeongGuk; et al, DesignCon 2022, DesignCon, 2022-04-07 |
| Deep reinforcement learning-based collision avoidance and mitigation trajectory planning through terminal state learning = 종단 상태 학습을 통한 심층 강화학습 기반 충돌 회피 및 경감 경로 계획link Lim, Joonhee; 임준희; et al, 한국과학기술원, 2024 |
| Deep Reinforcement Learning-based Decoupling Capacitor Optimization Method for Multi-Power Domain considering Transfer Noise in 3D-ICs Lee, Seonghi; Kim, Hyun Woong; Park, Dongryul; Ahn, Jangyong; Ryu, Seunghun; Park, Gagyeong; Ahn, Seungyoung, 2022 IEEE Electrical Design of Advanced Packaging and Systems, EDAPS 2022, Institute of Electrical and Electronics Engineers Inc., 2022-12-13 |
| Deep Reinforcement Learning-Based Energy Management for Liquid Hydrogen-Fueled Hybrid Electric Ship Propulsion System Jung, Wongwan; Chang, Daejun, JOURNAL OF MARINE SCIENCE AND ENGINEERING, v.11, no.10, 2023-10 |
| Deep reinforcement learning-based intelligent agent for autonomous air combat = 자율 공중 교전을 위한 심층 강화학습 기반 지능형 에이전트link Yoo, Jaewoong; Shim, Hyunchul; et al, 한국과학기술원, 2022 |
| Deep Reinforcement Learning-based Intelligent Agent for Autonomous Air Combat Yoo, Jaewoong; Seong, Hyunki; Shim, David Hyunchul; Bae, Jung Ho; Kim, Yong-Duk, 41st IEEE/AIAA Digital Avionics Systems Conference, DASC 2022, Institute of Electrical and Electronics Engineers Inc., 2022-09 |
| Deep Reinforcement Learning-based Interconnection Design for 3D X-Point Array Structure Considering Signal Integrity Son, Kyungjune; Kim, Minsu; Park, Hyunwook; Park, Shinyoung; Park, Gap Yeol; Lho, Daewhan; Kim, Seoungguk; et al, 2020 IEEE Electrical Design of Advanced Packaging and Systems, EDAPS 2020, Institute of Electrical and Electronics Engineers Inc., 2020-12 |
| Deep Reinforcement Learning-Based Optimal and Fast Hybrid Equalizer Design Method for High-Bandwidth Memory (HBM) Module Choi, Seonguk; Son, Keeyoung; Park, Hyunwook; Kim, SeongGuk; Sim, Boogyo; Kim, Jihun; Park, Joonsang; et al, IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY, v.13, no.11, pp.1804 - 1816, 2023-11 |
| Deep Reinforcement Learning-Based Optimal Decoupling Capacitor Design Method for Silicon Interposer-Based 2.5-D/3-D ICs Park, Hyunwook; Kim, Seongguk; Kim, Youngwoo; Kim, Joungho; Park, Junyong; Kim, Subin; Cho, Kyungjun; et al, IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY, v.10, no.3, pp.467 - 478, 2020-03 |
| Deep Reinforcement Learning-based Pin Assignment Optimization of BGA Packages considering Signal Integrity with Graph Representation Park, Joonsang; Kim, Joungho; Kim, SeongGuk; Son, Keeyoung; Shin, TaeIn; Park, Hyunwook; Choi, Seonguk; et al, 30th IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2021, IEEE, 2021-10-17 |
| Deep reinforcement learning-based position optimization model for intermediate discharge valves in a scroll compressor 유장곤; 김대겸, 제12회 한국유체공학학술대회, 한국전산유체공학회, 2022-06-23 |
| Deep Reinforcement Learning-based Power Distribution Network Structure Design Optimization Method for High Bandwidth Memory Interposer Lee, Seonghi; Kim, Hyun Woong; Song, Kyunghwan; Kim, Jongwook; park, dongryul; Ahn, Jangyong; Kim, Keunwoo; et al, 30th IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2021, Institute of Electrical and Electronics Engineers Inc., 2021-10-19 |
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