Subject

Subjects : Reinforcement learning algorithm

  • Articles (9)
  • Patents (1)
  • R&D Reports (0)
논문 검색결과
Type Year Title Cited Download
Journal 2024 Deep reinforcement learning extracts the optimal sepsis treatment policy from treatment records   최윤호  Communications Medicine, v.4, pp.1-11 4 원문
Journal 2023 Timeslot Scheduling with Reinforcement Learning Using a Double Deep Q-Network   류지혜  ELECTRONICS, v.12, no.4, pp.1-23 5 원문
Conference 2022 A study on the reward generation method to be used in reinforcement learning to reduce the peak load   Cheol-Ho Shin  International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.2369-2372 0 원문
Journal 2022 Entropy-Aware Model Initialization for Effective Exploration in Deep Reinforcement Learning   Jang Sooyoung  Sensors, v.22, no.15, pp.1-14 7 원문
Journal 2022 Optimal Resource Allocation Considering Non-Uniform Spatial Traffic Distribution in Ultra-Dense Networks: A Multi-Agent Reinforcement Learning Approach   김은진  IEEE Access, v.10, pp.20455-20464 16 원문
Journal 2021 Learning-based Resource Partitioning in Heterogeneous Networks with Multiple Network Operators   Chung Byung Chang  IEEE Communications Letters, v.25, no.3, pp.869-873 0 원문
Journal 2020 Semi-Supervised Speech Recognition Acoustic Model Training Using Policy Gradient   Chung Hoon  Applied Sciences, v.10, no.10, pp.1-13 4 원문
Conference 2019 Improving Network Availability with Low Network Construction Cost through Deep Reinforcement Learning   Cho Choong Hee  International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) 2019, pp.1-5 0 원문
Conference 2019 Effects of Hyper-Parameters for Deep Reinforcement Learning in Robotic Motion Mimicry: A Preliminary Study   Kimtaewoo  International Conference on Ubiquitous Robots (UR) 2019, pp.228-235 3 원문
특허 검색결과
Status Year Patent Name Country Family Pat. KIPRIS
Registered 2019 SYSTEM AND METHOD FOR SELECTING OPTIMAL PATH IN MULTI-MEDIA MULTI-PATH NETWORK UNITED STATES
연구보고서 검색결과
Type Year Research Project Primary Investigator Download
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