Showing results 1 to 14 of 14
A Discrete-Time Switching System Analysis of Q-learning Lee, Donghwan; Hu, Jianghai; He, Niao, SIAM JOURNAL ON CONTROL AND OPTIMIZATION, v.61, no.3, pp.1861 - 1880, 2023-08 |
Approximate dynamic programming-based approaches for input-output data-driven control of nonlinear processes Lee, JM; Lee, JayHyung, AUTOMATICA, v.41, no.7, pp.1281 - 1288, 2005-07 |
Deep Scanning-Beam Selection Based on Deep Reinforcement Learning in Massive MIMO Wireless Communication System![]() Kim, Minhoe; Lee, Woongsup; Cho, Dong-Ho, ELECTRONICS, v.9, no.11, 2020-11 |
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 |
Final Iteration Convergence Bound of Q-Learning: Switching System Approach Lee, Donghwan, IEEE TRANSACTIONS ON AUTOMATIC CONTROL, v.69, no.7, pp.4765 - 4772, 2024-07 |
High-resolution multi-beam tracking with low overhead for mmWave beamforming system![]() Kim, Seonyong; Kwon, Girim; Park, Hyuncheol, ICT EXPRESS, v.7, no.1, pp.28 - 35, 2021-03 |
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 |
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 |
Self-organizing fuzzy inference system by Q-learning = Q-학습에 의한 자기 형성 퍼지 추론 시스템link Kim, Min-Soeng; 김민성; et al, 한국과학기술원, 1999 |
The Reinforcement Learning based Local Routing Optimization for Ad-hoc Network Lee, Yongsu; Woo, Jongchan; Yoo, Hoi-Jun, JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE, v.19, no.1, pp.137 - 143, 2019-02 |
Two mode Q-learning using failure experience of the agent and its application to biped robot = 개체의 실패 경험을 활용한 Two mode Q-학습과 이족보행 로봇에의 적용link Park, Kui-Hong; 박귀홍; et al, 한국과학기술원, 2004 |
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 |
게임과 로봇공학에서의 모델 프리 강화학습 응용에 대한 사례 조사 김세원; 이재길, 데이타베이스연구, v.35, no.2, pp.126 - 138, 2019-08 |
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