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

@inproceedings{Xiaobei2010MultirobotHR,
  title={Multi-robot hierarchical reinforcement learning based on semi-Markov games},
  author={Cheng Xiao-bei},
  year={2010}
}
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. 

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