Browse by Title
Showing results 166861 to 166880 of 276014
| Reinforcement Learning - Overview of recent progress and implications for process control Shin, Joohyun; Badgwell, Thomas A.; Liu, Kuang-Hung; Lee, Jay Hyung, COMPUTERS & CHEMICAL ENGINEERING, v.127, pp.282 - 294, 2019-08 |
| Reinforcement learning accounts for zone allocation behavior between two competing mice = 경쟁 상황에서 나타나는 두 마리 생쥐의 협동 행동에 대한 강화학습 관점에서의 연구link Sol, Park; Jeong, Jaeseung; 정재승; Shin, Hee-sup; et al, 한국과학기술원, 2016 |
| Reinforcement learning approach for scheduling dual-gripper robotic cells with processing time variations Lee, Jun-Ho; Kim, Hyunjung, IEEE International Conference on Automation Science and Engineering, IEEE Robotics and Automation Society, 2020-08-20 |
| Reinforcement Learning based Adaptive Resource Allocation Scheme for Multi-User Augmented Reality Service Lee, Kyungchae; Youn, Chan-Hyun, ICTC 2022 (The 13th International Conference on ICT Convergence), The Korean Institutes of Communications and Information Sciences (KICS), 2022-10-20 |
| 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 based buffer allocation problem on complex production line Yosephine, Vina Sari; Jang, Young Jae, 8th International Conference on Industrial Engineering and Operations Management, IEOM 2018, pp.282 - 283, IEOM Society, 2018-03 |
| Reinforcement learning based design of GDDR6 WCK for 20Gbps bandwidth = 20Gbps 대역폭을 위한 GDDR6 WCK의 강화 학습 기반 설계link Kong, Kyu-Bong; Kim, Joungho; et al, 한국과학기술원, 2021 |
| Reinforcement learning based dual stocker schedulinglink Hwang, Seol; Jang, Young Jae; et al, 2021 |
| Reinforcement learning based joint task allocation and waypoint selection with robotic agent system design = 무인 로봇 에이전트 시스템에서 강화 학습 기반 작업 할당, 경로 선택 및 시스템 디자인link Kim, Inwook; Park, Jinkyoo; et al, 한국과학기술원, 2020 |
| Reinforcement Learning Based Multi-Step Look-Ahead Bayesian Optimization Cheon, Mujin; Byeon, Haeun; Lee, Jay Hyung, DYCOPS 2022, pp.100 - 105, IFAC, 2022-06-15 |
| Reinforcement learning based neuro-control systems for an unmanned helicopter Lee, D.J.; Bang, Hyochoong, International Conference on Control, Automation and Systems, ICCAS 2010, pp.2537 - 2540, 123, 2010-10-27 |
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 |
| Reinforcement Learning Based Power Management for Hybrid Electric Vehicles Chang, Naehyuck; Lin,Xue; Wang,Yanzhi; Pedram,Massoud, International Conference on Computer Aided Design(ICCAD), ACM SIGDA and IEEE CEDA, 2014-11-03 |
| Reinforcement learning based power management for hybrid electric vehicles Lin, Xue; Wang, Yanzhi; Bogdan, Paul; Chang, Naehyuck; Pedram, Massoud, 2014 33rd IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2014, pp.33 - 38, ACM SIGDA and IEEE CEDA, 2014-11-03 |
| Reinforcement Learning Buffer Allocation Problem on Complex Production Line Vina Yosephine; 장영재, 2017 대한산업공학회 추계학술대회, 대한산업공학회, 2017-11-04 |
| Reinforcement Learning Buffer Allocation Problem on Complex Production Line Yosephine, Vina Sari; Jang, Young Jae, Industrial Engineering and Operations Management Society Conference 2018, IEOM Society, 2018-03-07 |
| Reinforcement learning for batch process control: Review and perspectives Byun, Ha Eun; Yoo, Haeun; Han, Dongho; Lee, Jay Hyung, ANNUAL REVIEWS IN CONTROL, v.52, pp.108 - 119, 2021-12 |
| Reinforcement Learning for Control with Multiple Frequencies Lee, Jongmin; Lee, Byung-Jun; Kim, Kee-Eung, Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020), Neural information processing systems foundation, 2020-12-10 |
| Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models Fan, Ying; Watkins, Olivia; Du, Yuqing; Liu, Hao; Ryu, Moonkyung; Boutilier, Craig; Abbeel, Pieter; et al, Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2023, Neural Information Processing Systems Foundation, 2023-12-12 |
| Reinforcement Learning for Multi Mobile Robot Control in the Dynamic Environments Kim, Do Yun; Chung, Myung Jin, Korean Automatic Control Conference, pp.944 - 947, ICASE, 1996-10 |
Discover
Type
Open Access
Date issued
- 31,026 2020 - 2024
- 99,969 2010 - 2019
- 75,670 2000 - 2009
- 44,727 1990 - 1999
- 14,360 1980 - 1989
- 62 1964 - 1969