%PDF-1.5
%
1 0 obj
<<
/Type /Metadata /Subtype /XML
/Length 2829
>>
stream
Multi-agent path finding;multi-agent systems;multi-robot systems;symmetry breaking
MiKTeX pdfTeX-1.40.17
Unknown
This is MiKTeX-pdfTeX 2.9.6000 (1.40.17)
2019-05-24T08:11:35+05:30
TeX
2019-05-24T08:11:35+05:30
2019-05-24T08:11:35+05:30
uuid:70f53404-cb90-4544-9d68-62d05f434303
uuid:060836f7-8244-4832-9976-b681f69f270b
True
https://www.aaai.org
application/pdf
Learning to Teach in Cooperative Multiagent Reinforcement Learning
Copyright c
2019, Association for the Advancement of Artificial
AAAI Proceedings Volume 33 Number 1
Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How
Multi-agent path finding;multi-agent systems;multi-robot systems;symmetry breaking
endstream
endobj
4 0 obj
<<
/Length 5353
/Filter /FlateDecode
>>
stream
xڕ[Ks8ׯmM 1vWwϺjz60=Z%%RG~3 %[QAL&?|Ҭ2Qd\}{\ɼyW.fZ37$`Pw*Ƕym6mxE7Կq=7ĸZ07%@E eqjVTXD'[v7DMla+GCKn$fGuChrodYyu 4
tMb^G{/H0HUD: +_۶%S롮]5oQH%r]m2,D&)F$VkiDRd~HDeƳ$Y&W2)ǶٮVHL4y$zzz08N}K>Ox*
/QܪTB Jף~8M{1#XW}5@ry
Rfɒvo{ }dO.agYky
ms$Mp(2Kf]WC{aȻC9e#ՌF}B\wM~e)l.