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Reinforcement Learning for Intelligent Communications
时间:2018-10-18 17:22    点击:   所属单位:通信工程学院
讲座名称 Reinforcement Learning for Intelligent Communications
讲座时间 2018-10-24 16:00:00
讲座地点 北校区新科技楼 1012会议室
讲座人 Dr. Gan Zheng
讲座人介绍 Dr. Gan Zheng received the PhD degree in Electrical and Electronic Engineering from The University of Hong Kong in 2008. He is currently a Senior Lecturer in the Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, UK.
His research interests focus on 5G and beyond wireless networks, with current emphasis on edge caching, UAV communications, and artificial intelligence for wireless communications. He has published over 100 papers in international journals and conferences with more than 4000 citations. He received six international best paper awards. Currently he serves as an Associate Editor for IEEE Communications Letters.
讲座内容 Wireless communications networks are facing increasingly complex and constantly changing environments. Reinforcement learning is an essential tool that can provide the required intelligence to dynamically optimize the radio resources in an uncertain and unpredictable environment. In this talk, I will introduce the multi-armed bandit algorithm, a special form of reinforcement learning, to respond to network changes in a timely and appropriate way. Design examples on green communications with renewable energy, and the enhanced channel selection for a cognitive radio testbed will be presented.
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