Journal of Jilin University(Information Science Ed ›› 2016, Vol. 34 ›› Issue (5): 697-702.

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Improved Algorithm of Q鄄Learning for Trajectory Planning

ZHAO Hui 1 , LIU Yazhe 2   

  1. 1. College of Engineering, Bohai University, Jinzhou 121013, China;
    2. College of Computer Science and Information Technology, Daqing Normal University, Daqing 163318, China
  • Received:2015-11-25 Online:2016-09-24 Published:2017-01-16

Abstract: Aiming at the local optimal solution for Q learning algorithm, a segment incremental search strategy was proposed base on greedy strategy. The improved Q learning jump gradually between three situations such as explore, learn and utilize by adjusting parameters of segment incremental search strategy, and it could approach the global optimal rapidly than the traditional one when the new search strategy is applied to the Q learning. The simulation results show that the manipulator reaches the target position accurately and quickly guided by the improve Q learning algorithm.

Key words: online learning, manipulator, mathematical model, trajectory plan, search strategy

CLC Number: 

  • TP242. 2