SWARM
Multi-robot hierarchical reinforcement learning based on semi-Markov games
Xiaobei Cheng
- Year
- 2010
- Citations
- 2
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.
Keywords
Reinforcement learningRobotComputer scienceMarkov decision processMarkov chainArtificial intelligenceMarkov processMachine learningMathematics
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