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Combining Policy Search with Planning in Multi-agent Cooperation

Abstract:

It is cooperation that essentially differentiates multi-agent systems (MASs) from single-agent intelligence. In realistic MAS applications such as RoboCup, repeated work has shown that traditional machine learning (ML) approaches have difficulty mapping directly from cooperative behaviours to actuator outputs. To overcome this problem, vertical layered architectures are commonly used to break cooperation down into behavioural layers; ML has then been used to generate different low-level skill...

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Publication status:
Published

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Host title:
ROBOCUP 2008: ROBOT SOCCER WORLD CUP XII
Volume:
5399
Pages:
532-543
Publication date:
2009-01-01
DOI:
EISSN:
1611-3349
ISSN:
0302-9743
ISBN:
9783642029202
Keywords:
Pubs id:
pubs:58045
UUID:
uuid:217ce326-dce5-4423-adbb-946bd20e04dc
Local pid:
pubs:58045
Source identifiers:
58045
Deposit date:
2012-12-19

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