Showing results 1 to 6 of 6
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 |
Adaptive inventory control models for supply chain management Kim, CO; Jun, J; Baek, JK; Smith, RL; Kim, Yeong-Dae, INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, v.26, pp.1184 - 1192, 2005-10 |
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 |
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 |
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 |
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 |
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