BibTeX
CSL-JSON
MLA
Harvard
Evolutionary learning of policies for MCTS simulations
release_yatpgfcoqzdltk3dw6yp3qpntu
by
James Pettit, David Helmbold
Archived Files and Locations
application/pdf 305.7 kB
file_ws773rxmorgmhjp2citd4nqa5a
|
leeps.ucsc.edu (web) web.archive.org (webarchive) |
application/pdf 326.5 kB
file_mlyj5pb3ujdcplp4ccreolsusu
|
web.archive.org (webarchive) leeps.ucsc.edu (web) |
application/pdf 287.1 kB
file_k36vd2tpbjhf3mcst5l2inxc5i
|
web.archive.org (webarchive) web.archive.org (webarchive) users.soe.ucsc.edu:80 (web) users.soe.ucsc.edu (web) web.archive.org (webarchive) |
Read Archived PDF
Preserved and Accessible
Type
Stage
Year 2012
paper-conference
Stage
published
Year 2012
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
access all versions, variants, and formats of this works (eg, pre-prints)
Cite This
Lookup Links
oaDOI/unpaywall (OA fulltext)
Crossref Metadata (via API)
Worldcat
wikidata.org
CORE.ac.uk
Semantic Scholar
Google Scholar
Crossref Metadata (via API)
Worldcat
wikidata.org
CORE.ac.uk
Semantic Scholar
Google Scholar