Browse by Subject Reinforcement learning
Showing results 1 to 39 of 39
| A deep reinforcement learning approach for solving the Traveling Salesman Problem with Drone Bogyrbayeva, Aigerim; Yoon, Taehyun; Ko, Hanbum; Lim, Sungbin; Yun, Hyokun; Kwon, Changhyun, TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, v.148, 2023-03 |
| A dynamic penalty approach to state constraint handling in deep reinforcement learning Yoo, Haeun; Zavala, Victor M.; Lee, Jay Hyung, JOURNAL OF PROCESS CONTROL, v.115, pp.157 - 166, 2022-07 |
| A model-based deep reinforcement learning method applied to finite-horizon optimal control of nonlinear control-affine system Kim, Jong Woo; Park, Byung Jun; Yoo, Haeun; Oh, Tae Hoon; Lee, Jay H.; Lee, Jong Min, JOURNAL OF PROCESS CONTROL, v.87, pp.166 - 178, 2020-03 |
| A Reinforcement Learning Approach for Rebalancing Electric Vehicle Sharing Systems Bogyrbayeva, Aigerim; Jang, Sungwook; Shah, Ankit; Jang, Young Jae; Kwon, Changhyun, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, v.23, no.7, pp.8704 - 8714, 2022-07 |
| A survey of machine learning techniques in structural and multidisciplinary optimization Ramu, Palaniappan; Thananjayan, Pugazhenthi; Acar, Erdem; Bayrak, Gamze; Park, Jeong Woo; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.65, no.9, 2022-09 |
| Algorithm for Autonomous Power-Increase Operation Using Deep Reinforcement Learning and a Rule-Based System Lee Daeil; Arigi Awwal Mohammed; Kim Jonghyun, IEEE ACCESS, v.8, pp.196727 - 196746, 2020 |
| Applying real options with reinforcement learning to assess commercial CCU deployment Lee, Jeehwan S.; Chun, Woopill; Roh, Kosan; Heo, Seongmin; Lee, Jay H., JOURNAL OF CO2 UTILIZATION, v.77, 2023-11 |
| Automatic Gain Tuning Method of a Quad-Rotor Geometric Attitude Controller Using A3C Lee, Seongheon; Bang, Hyochoong, INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES, v.21, no.2, pp.469 - 478, 2020-06 |
| Autonomous Vehicle Cut-In Algorithm for Lane-Merging Scenarios via Policy-Based Reinforcement Learning Nested Within Finite-State Machine Hwang, Seulbin; Lee, Kibeom; Jeon, Hyeongseok; Kum, Dongsuk, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, v.23, no.10, pp.17594 - 17606, 2022-10 |
| Co-operative strategy for an interactive robot soccer system by reinforcement learning method Kim H.-R.; Hwang J.-H.; Kwon, Dong-Soo, INTERNATIONAL JOURNAL OF CONTROL, AUTOMATION AND SYSTEMS, v.1, no.2, pp.236 - 242, 2003-06 |
| Deep introspective SLAM: deep reinforcement learning based approach to avoid tracking failure in visual SLAM Naveed, Kanwal; Anjum, Muhammad Latif; Hussain, Wajahat; Lee, Donghwan, AUTONOMOUS ROBOTS, v.46, no.6, pp.705 - 724, 2022-08 |
| Deep-learning- and reinforcement-learning-based profitable strategy of a grid-level energy storage system for the smart grid Han, Gwangwoo; Lee, Sanghun; Lee, Jaemyung; Lee, Kangyong; Bae, Joongmyeon, JOURNAL OF ENERGY STORAGE, v.41, 2021-09 |
| Distributed Off-Policy Temporal Difference Learning Using Primal-Dual Method Lee, Donghwan; Kim, Do Wan; Hu, Jianghai, IEEE ACCESS, v.10, pp.107077 - 107094, 2022-10 |
| 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 |
| Embedding active learning in batch-to-batch optimization using reinforcement learning Byun, Ha-Eun; Kim, Boeun; Lee, Jay H., AUTOMATICA, v.157, 2023-11 |
End-to-End Autonomous Driving Through Dueling Double Deep Q-Network Peng, Baiyu; Sun, Qi; Li, Shengbo Eben; Kum, Dongsuk; Yin, Yuming; Wei, Junqing; Gu, Tianyu, AUTOMOTIVE INNOVATION, v.4, no.3, pp.328 - 337, 2021-08 |
| Enhanced Off-Policy Reinforcement Learning With Focused Experience Replay Kong, Seung-Hyun; Nahrendra, I. Made Aswin; Paek, Dong-Hee, IEEE ACCESS, v.9, pp.93152 - 93164, 2021-05 |
| Exploration behavior of task-related attributes in uninformed reinforcement learning task = 강화학습 과제 시 인간의 과제 관련 정보 탐색 행동에 관한 모델 제시 및 뇌 신호 분석link Choung, Oh-hyeon; Jeong, Yong; et al, 한국과학기술원, 2017 |
| Generative Design by Reinforcement Learning: Enhancing the Diversity of Topology Optimization Designs Jang, Seowoo; Yoo, Soyoung; Kang, Namwoo, COMPUTER-AIDED DESIGN, v.146, 2022-05 |
| 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 |
| Hybrid UAV-Enabled Secure Offloading via Deep Reinforcement Learning Yoo, Seonghoon; Jeong, Seongah; Kang, Joonhyuk, IEEE WIRELESS COMMUNICATIONS LETTERS, v.12, no.6, pp.972 - 976, 2023-06 |
| Interactive Human Intention Reading by Learning Hierarchical Behavior Knowledge Networks for Human-Robot Interaction Han, Ji-Hyeong; Choi, Seung-Hwan; Kim, Jong-Hwan, ETRI JOURNAL, v.38, no.6, pp.1229 - 1239, 2016-12 |
| 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 |
| Machine learning: Overview of the recent progresses and implications for the process systems engineering field Lee, Jay Hyung; Shin, Joohyun; Realff, Matthew J., COMPUTERS & CHEMICAL ENGINEERING, v.114, pp.111 - 121, 2018-06 |
| Modular Q-학습 기반 다개체 협력 시스템과 로봇 축구에의 적용 = Modular Q learning-based multi-agent cooperation system and its application to robot soccerlink 박귀홍; Park, Kui-Hong; et al, 한국과학기술원, 1999 |
| Multi-step lookahead Bayesian optimization with active learning using reinforcement learning and its application to data-driven batch-to-batch optimization Byun, Ha Eun; Kim, Bo Eun; Lee, Jay Hyung, COMPUTERS & CHEMICAL ENGINEERING, v.167, 2022-11 |
| Multi-timescale, multi-period decision-making model development by combining reinforcement learning and mathematical programming Shin, Joohyun; Lee, Jay Hyung, COMPUTERS & CHEMICAL ENGINEERING, v.121, pp.556 - 573, 2019-02 |
| OmniDRL: An Energy-Efficient Deep Reinforcement Learning Processor With Dual-Mode Weight Compression and Sparse Weight Transposer Lee, Juhyoung; Kim, Sangyeob; Kim, Sangjin; Jo, Wooyoung; Kim, Ji-Hoon; Han, Donghyeon; Yoo, Hoi-Jun, IEEE JOURNAL OF SOLID-STATE CIRCUITS, v.57, no.4, pp.999 - 1012, 2022-04 |
| Online actor-critic method based on incrementally generated radial basis functions = 점진적으로 생성되는 방사형 기저함수 기반 온라인 액터-크리틱 방법link Lee, Dong-Hyun; 이동현; et al, 한국과학기술원, 2013 |
| Path optimization for marine vehicles in ocean currents using reinforcement learning Yoo, Byunghyun; Kim, Jinwhan, JOURNAL OF MARINE SCIENCE AND TECHNOLOGY, v.21, no.2, pp.334 - 343, 2016-06 |
| Quantum-classical reinforcement learning for decoding noisy classical parity information Park, Daniel K.; Park, Jonghun; Rhee, June-Koo Kevin, QUANTUM MACHINE INTELLIGENCE, v.2, no.1, 2020-06 |
| Reinforcement Learning Based Optimal Control of Batch Processes Using Monte-Carlo Deep Deterministic Policy Gradient with Phase Segmentation Yoo, Haeun; Kim, Boeun; Kim, Jong Woo; Lee, Jay Hyung, COMPUTERS & CHEMICAL ENGINEERING, v.144, pp.107133, 2021-01 |
| Scaling simulation-to-real transfer by learning a latent space of robot skills Julian, Ryan C.; Heiden, Eric; He, Zhanpeng; Zhang, Hejia; Schaal, Stefan; Lim, Joseph J.; Sukhatme, Gaurav S.; et al, INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, v.39, no.10-11, pp.1259 - 1278, 2020-09 |
| Self-organizing fuzzy inference system by Q-learning = Q-학습에 의한 자기 형성 퍼지 추론 시스템link Kim, Min-Soeng; 김민성; et al, 한국과학기술원, 1999 |
| Structural optimization of an arch-structured epoxy/rubber composite vibration isolator using deep Q-value neural network reinforcement learning Hong, Hyunsoo; Jeong, Kwang Il; On, Seung Yoon; Kim, Wonvin; Kim, Seong Su, COMPOSITE STRUCTURES, v.323, 2023-11 |
| 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 |
| Transferable traffic signal control: Reinforcement learning with graph centric state representation Yoon, Jinwon; Ahn, Kyuree; Park, Jinkyoo; Yeo, Hwasoo, TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, v.130, 2021-09 |
| 게임과 로봇공학에서의 모델 프리 강화학습 응용에 대한 사례 조사 김세원; 이재길, 데이타베이스연구, v.35, no.2, pp.126 - 138, 2019-08 |
| 인공지능 기반 드론 목표물 추적 시스템의 설계 및 구현 강완주; 구윤표; 방지환; 손경환; Hostallero, David; 윤세은; 여현호; et al, 한국통신학회논문지, v.42, no.12, pp.2391 - 2401, 2017-12 |
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