JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2010, Vol. 40 ›› Issue (4): 1-7.

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Multi-robot hierarchical reinforcement learning based on semi-Markov games

SHEN Jing, LIU Hai-bo, ZHANG Ru-bo, WU Yan-xia, CHENG Xiao-bei   

  1. College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China
  • Received:2010-02-27 Online:2010-08-16 Published:2010-02-27

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Abstract:

Following previous work and considering the multi-robot systems with communication failure (e.g. in an underwater environment), a multi-robot hierarchical reinforcement learning approach based on semi-Markov games was proposed.  The game theory was employed in this approach. Simulation experimental results showed that the proposed approach was effective on multi-robot learning with communication failure.

Key words:  semi-Markov game, multi-robot, hierarchical reinforcement learning

[1] WU Hao,TIAN Guo-hui,HUANG Bin .

Research on the collaboration strategy of multi-robot for exploring unknown environment

[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2008, 38(4): 27-31 .
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