Multi-robot hierarchical reinforcement learning based on semi-Markov games
Xiaobei Cheng · Journal of Shandong University · 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.