Showing results 1 to 10 of 10
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 |
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 |
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 |
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 |
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 |
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 |
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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