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Evolutionary learning of policies for MCTS simulations.
James Pettit
, and
David P. Helmbold
.
FDG,
page 212-219.
ACM,
(
2012
)
@inproceedings{conf/fdg/PettitH12, added-at = {2012-07-09T00:00:00.000+0200}, author = {Pettit, James and Helmbold, David P.}, biburl = {http://www.bibsonomy.org/bibtex/24794fab494b295ff00167ea4cbcf8990/dblp}, booktitle = {FDG}, crossref = {conf/fdg/2012}, editor = {El-Nasr, Magy Seif and Consalvo, Mia and Feiner, Steven K.}, ee = {http://doi.acm.org/10.1145/2282338.2282379}, interhash = {600dba996be87d0a8c38e2b6f2bc5c15}, intrahash = {4794fab494b295ff00167ea4cbcf8990}, isbn = {978-1-4503-1333-9}, keywords = {dblp}, pages = {212-219}, publisher = {ACM}, timestamp = {2012-07-09T00:00:00.000+0200}, title = {Evolutionary learning of policies for MCTS simulations.}, url = {http://dblp.uni-trier.de/db/conf/fdg/fdg2012.html#PettitH12}, year = 2012 }
%0 Conference Paper %1 conf/fdg/PettitH12 %A Pettit, James %A Helmbold, David P. %B FDG %@ 978-1-4503-1333-9 %D 2012 %E El-Nasr, Magy Seif %E Consalvo, Mia %E Feiner, Steven K. %I ACM %K %P 212-219 %T Evolutionary learning of policies for MCTS simulations. %U http://dblp.uni-trier.de/db/conf/fdg/fdg2012.html#PettitH12
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conf/fdg/PettitH12
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