Using communication to reduce locality in distributed multiagent learning-Reference-Cited by-同舟云学术

Using communication to reduce locality in distributed multiagent learning

Published:1998-07 Issue:3 Volume:10 Page:357-369
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

MATARIC MAJA J.

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

http://www.tandfonline.com/doi/pdf/10.1080/095281398146806

Reference26 articles.

1. Altenburg, K. and Pavicic, M. Initial results in the use of inter-robot communication for a multiple, mobile robotic system. Proceedings, IJCAI-93 Workshop on Dynamically Interacting Robots. Chambery, France. pp.96–100.

2. Asada, M., Uchibe, E. and Hosoda, K. Agents that learn from other competitive agents. Proceedings, Machine Learning Conference Workshop on Agents That Learn From Other Agents. pp.1–7.

3. Donald, B. R., Jennings, J. and Rus, D. Information Invariants for cooperating autonomous mobile robots. Proceedings of the International Symposium on Robotics Research. Hidden Valley, PA.

4. Dudek, G., Jenkin, M., Milios, E. and Wilkes, D. On the utility of multi-agent autonomous robot systems. Proceedings, IJCAI-93 Workshop on Dynamically Interacting Robots. Chambery, France. pp.101–108.

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