Using Communication to Reduce Locality in Multi-Robot Learning

@inproceedings{Mataric1997UsingCT,
  title={Using Communication to Reduce Locality in Multi-Robot Learning},
  author={Maja J. Mataric},
  booktitle={AAAI/IAAI},
  year={1997}
}
This paper attempts to bridge the elds of machine learning, robotics, and distributed AI. It discusses the use of communication in reducing the undesirable eeects of locality in fully distributed multi-agent systems with multiple agents/robots learning in parallel while interacting with each other. Two key problems, hidden state and credit assignment, are addressed by applying local undirected broadcast communication in a dual role: as sensing and as reinforcement. The methodology is… CONTINUE READING
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