공지사항
[해외석학 세미나] Reinforcement learning in real-world telecom networks_스웨덴 에릭슨 Hit 743
- 등록일 2023-01-25 16:28:38
Abstract: Reinforcement learning (RL) has shown potential in designing powerful logic in controlled environments. But what are the possibilities to apply RL in a more complex environment such as telecom networks? In this talk, we describe the basic principles of RL in telecom, and discuss research challenges to make reinforcement learning become a key enabler for networks of the future. We also introduce examples of successful telecom industry applications such as MIMO precoding, antenna parameter optimization.
Bio: Jaeseong Jeong is a senior specialist AI for optimization at Ericsson Research, working on AI in RAN, core networks and network operations. He has been leading a couple of reinforcement learning related researches, and received key contributor award at 2020 and impact award at 2021 from Ericsson. He received the B.S., M.S., and Ph.D. degrees from Korea Advanced Institute of Science and Technology (KAIST) in 2008, 2010 and 2014, respectively. Prior to joining Ericsson, he was with Automatic Control Department, KTH Royal Institute of Technology, Sweden as a postdoctoral researcher.
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