Model-Based Cross-Scale Reinforcement Learning Optimal Control

被引:0
|
作者
Li, Gonghe [1 ]
Zhou, Linna [2 ]
Liu, Xiaomin [2 ]
Yang, Chunyu [2 ]
机构
[1] School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China
[2] China University of Mining and Technology, Faculty of School of Information and Control Engineering, Xuzhou, China
来源
2024 6th International Conference on Electronic Engineering and Informatics, EEI 2024 | 2024年
关键词
Cross-scale information interaction - Information interaction - Model-based OPC - Nonlinear singularly perturbed systems - Optimal control methods - Optimal control problem - Optimal controls - Rein-forcement learning - Reinforcement learnings - Slow subsystem;
D O I
暂无
中图分类号
学科分类号
摘要
19
引用
收藏
页码:906 / 910
相关论文
共 50 条
  • [21] Model-based Reinforcement Learning for Continuous Control with Posterior Sampling
    Fan, Ying
    Ming, Yifei
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 139, 2021, 139
  • [22] Advances in model-based reinforcement learning for Adaptive Optics control
    Nousiainen, Jalo
    Engler, Byron
    Kasper, Markus
    Helin, Tapio
    Heritier, Cedric T.
    Rajani, Chang
    ADAPTIVE OPTICS SYSTEMS VIII, 2022, 12185
  • [23] Adaptive optics control using model-based reinforcement learning
    Nousiainen, Jalo
    Rajani, Chang
    Kasper, Markus
    Helin, Tapio
    OPTICS EXPRESS, 2021, 29 (10) : 15327 - 15344
  • [24] Model-based Reinforcement Learning: A Survey
    Moerland, Thomas M.
    Broekens, Joost
    Plaat, Aske
    Jonker, Catholijn M.
    FOUNDATIONS AND TRENDS IN MACHINE LEARNING, 2023, 16 (01): : 1 - 118
  • [25] A survey on model-based reinforcement learning
    Fan-Ming LUO
    Tian XU
    Hang LAI
    Xiong-Hui CHEN
    Weinan ZHANG
    Yang YU
    Science China(Information Sciences), 2024, 67 (02) : 59 - 84
  • [26] Nonparametric model-based reinforcement learning
    Atkeson, CG
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 10, 1998, 10 : 1008 - 1014
  • [27] The ubiquity of model-based reinforcement learning
    Doll, Bradley B.
    Simon, Dylan A.
    Daw, Nathaniel D.
    CURRENT OPINION IN NEUROBIOLOGY, 2012, 22 (06) : 1075 - 1081
  • [28] Multiple model-based reinforcement learning
    Doya, K
    Samejima, K
    Katagiri, K
    Kawato, M
    NEURAL COMPUTATION, 2002, 14 (06) : 1347 - 1369
  • [29] A survey on model-based reinforcement learning
    Luo, Fan-Ming
    Xu, Tian
    Lai, Hang
    Chen, Xiong-Hui
    Zhang, Weinan
    Yu, Yang
    SCIENCE CHINA-INFORMATION SCIENCES, 2024, 67 (02)
  • [30] Hybrid control for combining model-based and model-free reinforcement learning
    Pinosky, Allison
    Abraham, Ian
    Broad, Alexander
    Argall, Brenna
    Murphey, Todd D.
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2023, 42 (06): : 337 - 355