Learning for Decision and Control in Stochastic Networks
Huang, Longbo
- 出版商: Springer
- 出版日期: 2024-06-21
- 售價: $2,180
- 貴賓價: 9.5 折 $2,071
- 語言: 英文
- 頁數: 71
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031315995
- ISBN-13: 9783031315992
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作者簡介
Longbo Huang, Ph.D. is an Associate Professor at the Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University, Beijing, China. He received his Ph.D. in EE from the University of Southern California, and then worked as a postdoctoral researcher in the EECS dept. at University of California at Berkeley before joining IIIS. Dr. Huang previously held visiting positions at the LIDS lab at MIT, the Chinese University of Hong Kong, Bell-labs France, and Microsoft Research Asia (MSRA). He was also a visiting scientist at the Simons Institute for the Theory of Computing at UC Berkeley in Fall 2016. Dr. Huang's research focuses on decision intelligence (AI for decisions), including deep reinforcement learning, online learning and reinforcement learning, learning-augmented network optimization, distributed optimization and machine learning.
作者簡介(中文翻譯)
黃龍博博士是中國北京清華大學跨學科資訊科學研究所(IIIS)的副教授。他在南加州大學獲得電機工程(EE)博士學位,隨後在加州大學伯克利分校的電機與計算機科學系擔任博士後研究員,之後加入IIIS。黃博士曾在麻省理工學院的LIDS實驗室、香港中文大學、法國貝爾實驗室以及微軟亞洲研究院(MSRA)擔任訪問職位。他在2016年秋季也曾擔任加州大學伯克利分校西蒙斯計算理論研究所的訪問科學家。黃博士的研究專注於決策智慧(AI for decisions),包括深度強化學習、在線學習和強化學習、學習增強的網路優化、分散式優化和機器學習。