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Collaborative agent-based learning with limited data exchange
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International Conference on Autonomous Agents archive
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 table of contents
Budapest, Hungary
SESSION: Interactions table of contents
Pages 1191-1192  
Year of Publication: 2009
ISBN:978-0-9817381-7-8
Authors
Xavier Rafael Palou  The University of Edinburgh, Edinburgh, United Kingdom
Michael Rovatsos  The University of Edinburgh, Edinburgh, United Kingdom
Sponsors
: The Foundation for Intelligent Physical Agents
Microsoft Research : Microsoft Research
: Whitestein Technologies
: European Office of Aerospace Research and Development, Air Force Office of Scientific Research, United States Air Force Research Laboratory
: Drexel University
: Wiley -- Blackwell Ltd
Publisher
Bibliometrics
Downloads (6 Weeks): 11,   Downloads (12 Months): 25,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

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ABSTRACT

We describe a collaborative agent-based learning model suitable for environments with limited data exchange and provide an overview of its empirical evaluation.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Healthagents. http://www.healthagents.net.
 
2
A. Asuncion and D. Newman. UCI machine learning repository, 2007.
 
3
4

Collaborative Colleagues:
Xavier Rafael Palou: colleagues
Michael Rovatsos: colleagues