Showing results 56581 to 56600 of 278753
Deep Q Learning with LSTM for Traffic Light Control Choe, Chung jae; Baek, Seung ho; Woon, Bong Young; Kong, Seung-Hyun, 24th Asia-Pacific Conference on Communications, APCC 2018, pp.331 - 336, APCC, 2018-11-13 |
Deep recursive segmentation networks = 심층 제귀 영역 분할 신경망link Pan, Fei; Yoo, Chang Dong; et al, 한국과학기술원, 2018 |
Deep Red Phosphorescence of Cyclometalated Iridium Complexes by o-Carborane Substitution Bae, Hye Jin; Chung, Jin; Kim, Hyungjun; Park, Jihyun; Lee, Kang-Mun; Koh, Tae-Wook; Lee, Yoon Sup; et al, INORGANIC CHEMISTRY, v.53, no.1, pp.128 - 138, 2014-01 |
Deep Regression Network-Assisted Efficient Streamline Generation Method![]() Lee, Joong-Youn; Park, Jinah, IEEE ACCESS, v.9, pp.111704 - 111717, 2021-07 |
Deep Reinforcement Learning based Autonomous Air-to-Air Combat using Target Trajectory Prediction Yoo, Jaewoong; Kim, Donghwi; Shim, David Hyunchul, 21st International Conference on Control, Automation and Systems, ICCAS 2021, pp.2172 - 2176, IEEE Computer Society, 2021-10 |
Deep reinforcement learning based autonomous driving with expert demonstrations = 전문가의 시연에 의해 유도된 탐험을 통한 심층 강화 학습 기반 자율주행link Jang, Yoonha; Shim, Hyunchul; et al, 한국과학기술원, 2022 |
Deep reinforcement learning based finite-horizon optimal control for a discrete-time affine nonlinear system Kim, Jong Woo; Park, Byung Jun; Yoo, Haeun; Lee, Jay Hyung; Lee, Jong Min, 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), pp.567 - 572, IEEE, 2018-09 |
Deep reinforcement learning based finite-horizon optimal tracking control for nonlinear system Kim, Jong Woo; Park, Byung Jun; Yoo, Haeun; Lee, Jay Hyung; Lee, Jong Min, Joint Meeting of the 2nd IFAC Workshop on Linear Parameter Varying Systems (LPVS) / 9th IFAC Symposium on Robust Control Design (ROCOND), pp.257 - 262, Elsevier BV, 2018-09 |
Deep reinforcement learning based heuristic DNA sequence alignment algorithm = 심층 강화 학습 기반 휴리스틱 염기서열 정렬 알고리즘link Song, Yongjoon; Cho, Dongho; et al, 한국과학기술원, 2021 |
Deep reinforcement learning based multi-autonomous vehicle control = 딥 강화학습 기반 다중 자율주행 차량 제어link Lee, Jaeyun; Jang, Ki Tae; et al, 한국과학기술원, 2018 |
Deep reinforcement learning based robot arm manipulation with efficient training data through simulation Xing, Xiaowei; Chang, Dong Eui, 19th International Conference on Control, Automation and Systems (ICCAS), ICROS, 2019-10 |
Deep Reinforcement Learning Based Traffic Signal Control: A Comparative Analysis Wu, Chunliang; Kim, Inhi; Ma, Zhenliang, 14th International Conference on Ambient Systems, Networks and Technologies Networks, ANT 2023 and The 6th International Conference on Emerging Data and Industry 4.0, EDI40 2023, pp.275 - 282, Elsevier B.V., 2023-03-16 |
Deep Reinforcement Learning Based Traffic Signal Control: A Comparative Analysis Wu, Chunliang; Kim, Inhi; Ma, Zhenliang, Procedia Computer Science, v.220, pp.275 - 282, 2023 |
Deep reinforcement learning for feedback control in a collective flashing ratchet![]() Kim, Dong-Kyum; Jeong, Hawoong, PHYSICAL REVIEW RESEARCH, v.3, no.2, 2021-04 |
Deep reinforcement learning for robot arm control through 3D simulation Xing, Xiaowei; 장동의, 35회 제어로봇시스템학회 국내학술대회, 제어로봇시스템학회, 2019-05 |
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 |
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