Learning to control an inverted pendulum using Q-learning and neural networks

被引:0
|
作者
Jiang, Guofei [1 ]
Wu, Cangpu [1 ]
机构
[1] Beijing Inst of Technology, Beijing, China
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:662 / 666
相关论文
共 50 条
  • [41] Mobile Robot Navigation: Neural Q-Learning
    Yun, Soh Chin
    Parasuraman, S.
    Ganapathy, V.
    ADVANCES IN COMPUTING AND INFORMATION TECHNOLOGY, VOL 3, 2013, 178 : 259 - +
  • [42] Mobile robot navigation: neural Q-learning
    Parasuraman, S.
    Yun, Soh Chin
    INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2012, 44 (04) : 303 - 311
  • [43] Fuzzy Q-Learning Flow Control for High-Speed Networks
    Li, Xin
    Zhao, Xin
    Jing, Yuanwei
    Zhang, Nannan
    2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 383 - +
  • [44] DISTRIBUTED CORRELATED Q-LEARNING FOR DYNAMIC TRANSMISSION CONTROL OF SENSOR NETWORKS
    Huang, Jane Wei
    Zhu, Quanyan
    Krishnamurthy, Vikram
    Basar, Tamer
    2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2010, : 1982 - 1985
  • [45] Distributed Q-Learning for Aggregated Interference Control in Cognitive Radio Networks
    Galindo-Serrano, Ana
    Giupponi, Lorenza
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2010, 59 (04) : 1823 - 1834
  • [46] Learning rates for Q-Learning
    Even-Dar, E
    Mansour, Y
    COMPUTATIONAL LEARNING THEORY, PROCEEDINGS, 2001, 2111 : 589 - 604
  • [47] Learning rates for Q-learning
    Even-Dar, E
    Mansour, Y
    JOURNAL OF MACHINE LEARNING RESEARCH, 2003, 5 : 1 - 25
  • [48] ONLINE FEEDBACK ERROR LEARNING CONTROL FOR AN INVERTED PENDULUM
    Morita, Yuzuru
    Wakuya, Hiroshi
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2009, 5 (10B): : 3565 - 3572
  • [49] Optimal control using adaptive resonance theory and Q-learning
    Kiumarsi, Bahare
    AlQaudi, Bakur
    Modares, Hamidreza
    Lewis, Frank L.
    Levine, Daniel S.
    NEUROCOMPUTING, 2019, 361 : 119 - 125
  • [50] Autonomous Decentralized Traffic Control Using Q-Learning in LPWAN
    Kaburaki, Aoto
    Adachi, Koichi
    Takyu, Osamu
    Ohta, Mai
    Fujii, Takeo
    IEEE ACCESS, 2021, 9 : 93651 - 93661