• Electronics Optics & Control
  • Vol. 26, Issue 9, 29 (2019)
DUAN Jianmin and CHEN Qianglong
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.3969/j.issn.1671-637x.2019.09.007 Cite this Article
    DUAN Jianmin, CHEN Qianglong. Prior Knowledge Based Q-Learning Path Planning Algorithm[J]. Electronics Optics & Control, 2019, 26(9): 29 Copy Citation Text show less
    References

    [6] REN H G, YIN R J, LI F J, et al. Research on Q-ELM algorithm in robot path planning[C]//Control and Decision Conference, IEEE, 2016: 5975-5979.

    [7] TAI L, LIU M. A robot exploration strategy based on Q-Learning network[C]//International Conference on RealTime Computing and Robotics, IEEE, 2016: 57-62.

    [10] ZHANG Y F, LI W L, DE SILVA C W. RSMDP-based robust Q-Learning for optimal path planning in a dynamic environment[J]. IAES International Journal of Robotics & Automation, 2014, 31(4): 290-300.

    [11] KLIDBARY S H, SHOURAKI S B, KOURABBASLOU S S. Path planning of modular robots on various terrains using Q-Learning versus optimization algorithms[J]. Intelligent Service Robotics, 2017, 10(2): 121-136.

    [12] GASKETT C. Q-Learning for robot control [D]. Canberra: The Australian National University, 2002.

    [13] DUNG L T, KOMEDA T, TAKAGI M. Reinforcement learning for POMDP using state classification [J]. Applied Artificial Intelligence, 2008, 22(7/8): 761-779.

    [15] FRAMLING K. Guiding exploration by pre-existing know ledge without modifying reward[J]. Neural Networks, 2007, 20(6): 736-747.

    [16] OH C H, NAKASHIMA T, ISHIBUCHI H.Initialization of Q-values by fuzzy rules for accelerating Q-Learning[C]//Proceedings of the IEEE World Congress on Computational Intelligence, 2002: 2051-2056.

    [17] LILLICRAP T P, HUNT J J, PRITZEL A, et al. Continuous control with deep reinforcement learning[J]. Computer Science, 2015, 8(6): 1-14.

    [18] WATKINS C, CHRISTDPHER J, DAYAN P. Q-Learning[J].Machine Learning, 1992, 8(1): 279-292.

    [19] SUTTON R S, BARTO A G. Reinforcement learning: an introduction[M]. Cambridge: The MIT Press, 1998.

    [20] LIN L X, XIE H B, ZHANG D B, et al. Supervised neural Q-Learning based motion control for bionic underwater robots[J ] . Journal of Bionic Engineering, 2010, 7(s): 177-184.

    CLP Journals

    [1] WANG Yangbin, ZHANG Wei, WANG Weike, HU Zhi. An Improved Informed-RRT* Algorithm for Path Planning in Dynamic Environment[J]. Electronics Optics & Control, 2022, 29(5): 28

    DUAN Jianmin, CHEN Qianglong. Prior Knowledge Based Q-Learning Path Planning Algorithm[J]. Electronics Optics & Control, 2019, 26(9): 29
    Download Citation