Imitation Learning for Adaptive Video Streaming With Future Adversarial Information Bottleneck Principle

被引：0
|
作者：
Wang, Shuoyao [1 ]
Lin, Jiawei [1 ]
Ye, Fangwei [2 ]
机构：
[1] Shenzhen University, College of Electronic and Information Engineering, Shenzhen,518060, China
[2] Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, Nanjing,210095, China
来源：
IEEE Transactions on Mobile Computing | 2024年 / 23卷 / 12期
关键词：
D O I：
10.1109/TMC.2024.3437455
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：13670 / 13683
相关论文
共 50 条
  • [1] Quality-Aware Neural Adaptive Video Streaming With Lifelong Imitation Learning
    Huang, Tianchi
    Zhou, Chao
    Yao, Xin
    Zhang, Rui-Xiao
    Wu, Chenglei
    Yu, Bing
    Sun, Lifeng
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2020, 38 (10) : 2324 - 2342
  • [2] Comyco: Quality-Aware Adaptive Video Streaming via Imitation Learning
    Huang, Tianchi
    Zhou, Chao
    Zhang, Rui-Xiao
    Wu, Chenglei
    Yao, Xin
    Sun, Lifeng
    [J]. PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19), 2019, : 429 - 437
  • [3] Deep Learning and the Information Bottleneck Principle
    Tishby, Naftali
    Zaslavsky, Noga
    [J]. 2015 IEEE INFORMATION THEORY WORKSHOP (ITW), 2015,
  • [4] InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle
    Xu, Mengting
    Zhang, Tao
    Li, Zhongnian
    Zhang, Daoqiang
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 35 (01) : 1255 - 1264
  • [5] QoE-Driven Dynamic Adaptive Video Streaming Strategy With Future Information
    Yu, Li
    Tillo, Tammam
    Xiao, Jimin
    [J]. IEEE TRANSACTIONS ON BROADCASTING, 2017, 63 (03) : 523 - 534
  • [6] Adversarial Imitation Learning from Video using a State Observer
    Karnan, Haresh
    Torabi, Faraz
    Warnell, Garrett
    Stone, Peter
    [J]. 2022 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2022), 2022, : 2452 - 2458
  • [7] Applying the Information Bottleneck Principle to Prosodic Representation Learning
    Zhang, Guangyan
    Qin, Ying
    Tan, Daxin
    Lee, Tan
    [J]. INTERSPEECH 2021, 2021, : 3156 - 3160
  • [8] Addressing implicit bias in adversarial imitation learning with mutual information
    Zhang, Lihua
    Liu, Quan
    Zhu, Fei
    Huang, Zhigang
    [J]. NEURAL NETWORKS, 2023, 167 : 847 - 864
  • [9] Adaptive Information Gathering via Imitation Learning
    Choudhury, Sanjiban
    Kapoor, Ashish
    Ranade, Gireeja
    Scherer, Sebastian
    Dey, Debadeepta
    [J]. ROBOTICS: SCIENCE AND SYSTEMS XIII, 2017,
  • [10] Deep representation learning for domain generalization with information bottleneck principle
    Zhang, Jiao
    Zhang, Xu-Yao
    Wang, Chuang
    Liu, Cheng-Lin
    [J]. PATTERN RECOGNITION, 2023, 143
12345