Browse by Subject reinforcement learning
Showing results 22 to 71 of 71
| Data-driven control design with LMIs and dynamic programming Lee, Donghwan; Kim, Do Wan, IEEE ACCESS, v.11, pp.14309 - 14321, 2023-03 |
| Deep Learning-Based Ground Vibration Monitoring: Reinforcement Learning and RNN-CNN Approach Yun, Sangseok; Kang, Jae-Mo; Ha, Jeongseok; Lee, Sangho; Ryu, Dong-Woo; Kwon, Jihoe; Kim, Il-Min, IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, v.19, 2022-01 |
| Design of a fuzzy logic controller with Evolutionary Q-Learning Kim, MS; Lee, Ju-Jang, INTELLIGENT AUTOMATION AND SOFT COMPUTING, v.12, no.4, pp.369 - 381, 2006 |
| Design of multiobjective fuzzy control system using reinforcement learning = 강화 학습을 이용한 다목적 퍼지 제어 시스템의 설계link Kang, Dong-Oh; 강동오; et al, 한국과학기술원, 2001 |
| Dynamic and Effect-driven Output Service Selection for IoT Environments Using Deep Reinforcement Learning Baek, Kyeong Deok; Ko, In-Young, IEEE INTERNET OF THINGS JOURNAL, v.10, no.4, pp.3339 - 3355, 2023-02 |
| Energy-Efficient Online Path Planning of Multiple Drones Using Reinforcement Learning Hong, Dooyoung; Lee, Seonhoon; Cho, Young Hoo; Baek, Donkyu; Kim, Jaemin; Chang, Naehyuck, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v.70, no.10, pp.9725 - 9740, 2021-10 |
| Free-form optimization of nanophotonic devices: from classical methods to deep learning Park, Juho; Kim, Sanmun; Nam, Daniel Wontae; Chung, Haejun; Park, Chan Y.; Jang, Min Seok, NANOPHOTONICS, v.11, no.9, pp.1809 - 1845, 2022-01 |
| Generating Dispatching Rules for the Interrupting Swap-Allowed Blocking Job Shop Problem Using Graph Neural Network and Reinforcement Learning Wong, Vivian Wen Hui; Kim, Sang Hun; Park, Junyoung; Park, Jinkyoo; Law, Kincho H., JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, v.146, no.1, 2024-01 |
Hindsight Goal Ranking on Replay Buffer for Sparse Reward Environment Luu, Tung M.; Yoo, Chang-Dong, IEEE ACCESS, v.9, pp.51996 - 52007, 2021-04 |
| Humanoid push recovery based on reinforcement learning in continuous state and action space = 연속 상태.행동공간에서 강화학습에 기반한 인간형 로봇의 넘어짐 방지link Mao, Wentao; 모문탁; et al, 한국과학기술원, 2010 |
| HybGrasp: A Hybrid Learning-to-Adapt Architecture for Efficient Robot Grasping Mun, Jungwook; Giang, Khang Truong; Lee, Yunghee; Oh, Nayoung; Huh, Sejoon; Kim, Min; Jo, Sung-Ho, IEEE ROBOTICS AND AUTOMATION LETTERS, v.8, no.12, pp.8390 - 8397, 2023-12 |
| Imitating and Finetuning Model Predictive Control for Robust and Symmetric Quadrupedal Locomotion Youm, Donghoon; Jung, Hyunyoung; Kim, Hyeongjun; Hwangbo, Jemin; Park, Hae-Won; Ha, Sehoon, IEEE Robotics and Automation Letters, v.8, no.11, pp.7799 - 7806, 2023-11 |
| Importance of prefrontal meta control in human-like reinforcement learning Lee, Jee Hang; Leibo, Joel Z.; An, Su Jin; Lee, Sang Wan, FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, v.16, 2022-12 |
| Incremental Receptive Field Weighted Actor-Critic Lee, Dong-Hyun; Lee, Ju-Jang, IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, v.9, no.1, pp.62 - 71, 2013-02 |
| Intellectual Algorithm for Enhancing System Capacity in Cellular and WLAN Coexisting Communication Networks = 셀룰러와 무선 LAN이 공존하는 통신망에서 시스템 용량을 개선하기 위한 지능 알고리즘link Chung, Byung Chang; 정병창; et al, 한국과학기술원, 2017 |
| Intelligent Network-on-Chip With Online Reinforcement Learning for Portable HD Object Recognition Processor Park, Jun-Young; Hong, In-Joon; Kim, Gyeong-Hoon; Nam, Byeong-Gyu; Yoo, Hoi-Jun, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, v.61, no.2, pp.476 - 484, 2014-02 |
| Landing posture control of a robotic cat using fast converging reinforcement learning = 빠르게 수렴하는 강화학습을 이용한 고양이 로봇의 착지자세 제어link Shin, Bong-Gun; 신봉근; et al, 한국과학기술원, 2009 |
| Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning Park, Junyoung; Chun, Jaehyeong; Kim, Sang Hun; Kim, Youngkook; Park, Jinkyoo, INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.59, no.11, pp.3360 - 3377, 2021-06 |
| Learning to Schedule Network Resources Throughput and Delay Optimally Using Q(+)-Learning Bae, Jeongmin; Lee, Joohyun; Chong, Song, IEEE-ACM TRANSACTIONS ON NETWORKING, v.29, no.2, pp.750 - 763, 2021-04 |
| Learning-based resource partitioning in heterogeneous networks with multiple network operators Chung, Byung Chang; Cho, Dong-Ho, IEEE COMMUNICATIONS LETTERS, v.25, no.3, pp.869 - 873, 2021-03 |
| Modular Q-learning based multi-agent cooperation for robot soccer Park, KH; Kim, YJ; Kim, Jong-Hwan, ROBOTICS AND AUTONOMOUS SYSTEMS, v.35, no.2, pp.109 - 122, 2001-05 |
| Neural Signals Related to Outcome Evaluation Are Stronger in CA1 than CA3 Lee, Sung-Hyun; Huh, Namjung; Lee, Jong Won; Ghim, Jeong-Wook; Lee, Inah; Jung, Min Whan, FRONTIERS IN NEURAL CIRCUITS, v.11, 2017-06 |
| Neurostimulation Reveals Context-Dependent Arbitration Between Model-Based and Model-Free Reinforcement Learning Weissengruber, Sebastian; Lee, Sang Wan; O’Doherty, John P.; Ruff, Christian C., CEREBRAL CORTEX, v.29, no.11, pp.4850 - 4862, 2019-11 |
| NeuSaver: Neural Adaptive Power Consumption Optimization for Mobile Video Streaming Park, Kyoungjun; Kim, Myungchul; Park, Laihyuk, IEEE TRANSACTIONS ON MOBILE COMPUTING, v.22, no.11, pp.6633 - 6646, 2023-11 |
| Online Gaussian Process State-space Model: Learning and Planning for Partially Observable Dynamical Systems Park, Soon-Seo; Park, Young-Jin; Min, Youngjae; Choi, Han-Lim, INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, v.20, no.2, pp.601 - 617, 2022-02 |
| Online neural Q-Learning using heuristic weight assignment algorithm and optimization method = 휴리스틱한 가중치 배당 알고리즘과 최적화 방법을 이용한 온라인 Neural Q-Learninglink Kim, Yeon-Seob; 김연섭; et al, 한국과학기술원, 2013 |
| Optimal Design of Wireless Charging Electric Bus System Based on Reinforcement Learning LEE, HYUKJOON; Ji, Dong Jin; Cho, Dong-Ho, ENERGIES, v.12, no.7, 2019-04 |
| Optogenetic control of dopamine neurons for operant reinforcement in mice = 쥐의 도파민 뉴런에 대한 광유전학 조절을 통한 조작적 강화link Kim, Kyung-Man; 김경만; et al, 한국과학기술원, 2012 |
| Path optimization for a marine vehicle using reinforcement learning = 강화학습 기법을 이용한 해양운동체의 경로 최적화link Yoo, Byung-Hyun; 유병현; et al, 한국과학기술원, 2013 |
| Physical factors that differentiate body kinematics between treadmill and overground walking Jung, Mingi; Koo, Seungbum, FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, v.10, 2022-08 |
| Practical Q-Learning-Based Route-Guidance and Vehicle Assignment for OHT Systems in Semiconductor Fabs Hong, Sangpyo; Hwang, Illhoe; Jang, Young Jae, IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, v.35, no.3, pp.385 - 396, 2022-08 |
| Primal-Dual Q-Learning Framework for LQR Design Lee, Donghwan; Hu, Jianghai, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, v.64, no.9, pp.3756 - 3763, 2019-09 |
| Reinforcement learning based base station cooperation scheme in mobile networks = 이동망에서 강화 학습을 이용한 기지국 협력 방안link Chung, Byung-Chang; 정병창; et al, 한국과학기술원, 2013 |
| Reinforcement learning for robotic flow shop scheduling with processing time variations Lee, Jun-Ho; Kim, Hyun-Jung, INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.60, no.7, pp.2346 - 2368, 2022-04 |
| Retro-RL: Reinforcing Nominal Controller with Deep Reinforcement Learning for Tilting-Rotor Drones Nahrendra, I. Made Aswin; Tirtawardhana, Christian; Yu, Byeongho; Lee, Eungchang Mason; Myung, Hyun, IEEE ROBOTICS AND AUTOMATION LETTERS, v.7, no.4, pp.9004 - 9011, 2022-10 |
| ReveNAND: A Fast-Drift-Aware Resilient 3D NAND Flash Design Shihab, Mustafa M.; Zhang, Jie; Jung, Myoungsoo; Kandemir, Mahmut, ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, v.15, no.2, 2018-06 |
| Rewards Prediction-Based Credit Assignment for Reinforcement Learning With Sparse Binary Rewards Seo, Minah; Vecchietti, Luiz Felipe; Lee, Sangkeum; Har, Dongsoo, IEEE ACCESS, v.7, pp.118776 - 118791, 2019-08 |
| Role of dopamine D2 receptors in optimizing choice strategy in a dynamic and uncertain environment Kwak, Shinae; Huh, Namjung; Seo, Ji-Seon; Lee, Jung-Eun; Han, Pyung-Lim; Jung, MinWhan, FRONTIERS IN BEHAVIORAL NEUROSCIENCE, v.8, 2014-10 |
| Scheduling PID Attitude and Position Control Frequencies for Time-Optimal Quadrotor Waypoint Tracking under Unknown External Disturbances Kang, Cheongwoong; Park, Bumjin; Choi, Jaesik, SENSORS, v.22, no.1, 2022-01 |
| Semi-dynamic Cell-Clustering Algorithm Based on Reinforcement Learning in Cooperative Transmission System Chung, Byung Chang; Cho, Dong-Ho, IEEE SYSTEMS JOURNAL, v.12, no.4, pp.3853 - 3856, 2018-12 |
| Simulation-based learning of cost-to-go for control of nonlinear processes Lee, JM; Lee, JayHyung, KOREAN JOURNAL OF CHEMICAL ENGINEERING, v.21, no.2, pp.338 - 344, 2004-03 |
| Spatially and temporally extended state space for multilayered reinforcement learning in cognitive developmental robot = 인지 발달 로봇을 위한 다계층 강화학습의 시공간적으로 확장된 상태공간link Yang, Jeong-Yean; 양정연; et al, 한국과학기술원, 2011 |
| Structural Optimization of a One-Dimensional Freeform Metagrating Deflector via Deep Reinforcement Learning Seo, Dongjin; Nam, Daniel Wontae; Park, Juho; Park, Chan Y.; Jang, Min Seok, ACS PHOTONICS, v.9, no.2, pp.452 - 458, 2021-12 |
| Synaptic plasticity model of a spiking neural network for reinforcement learning Lee, K; Kwon, Dong-Soo, NEUROCOMPUTING, v.71, no.13-15, pp.3037 - 3043, 2008-08 |
| Transient activation of midbrain dopamine neurons by reward risk. Fiorillo, Christopher D., NEUROSCIENCE, v.197, pp.162 - 171, 2011-12 |
| Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning Luu, Tung M.; Nguyen, Thanh; Vu, Thang; Yoo, Chang-Dong, IEEE ACCESS, v.10, pp.64965 - 64975, 2022 |
| 강화 학습을 이용한 비전 기반의강인한 손 모양 인식에 대한 연구 장효영; 변증남, 전자공학회논문지 - CI, v.43, no.3, pp.39 - 49, 2006-05 |
| 강화학습에 기반한 이족보행 패턴에 대한 연구 = A study on bipedal walking pattern based on the reinforcement learninglink 한상훈; Sanghoon Han; 김수현; SooHyun Kim; et al, 한국과학기술원, 2015 |
| 심층 강화학습기반 연속상태공간 제어를 위한 보상 함수 분석 강민구; 김기응, 정보과학회논문지, v.47, no.1, pp.78 - 87, 2020-01 |
| 제약을 갖는 POMDP를 위한 휴리스틱 검색 가치 반복 알고리즘 = Heuristic search value iteration for constrained POMDPslink 고봉석; Goh, Bong-Seok; et al, 한국과학기술원, 2013 |
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