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020 _z9789054877158
035 _a(MiAaPQ)EBC3115787
035 _a(Au-PeEL)EBL3115787
035 _a(CaPaEBR)ebr10781846
035 _a(OCoLC)922966249
040 _aMiAaPQ
_beng
_erda
_epn
_cMiAaPQ
_dMiAaPQ
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082 0 _a006.31
_223
100 1 _aVrancx, Peter.
245 1 0 _aDecentralised reinforcement learning in Markov games /
_cPeter Vrancx ; supervisors, Ann Nowe, Katja Verbeeck.
264 1 _aBrussel, Belgium :
_bVUBPress,
_c2010.
264 4 _c2010
300 _a1 online resource (217 pages) :
_billustrations
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
500 _aIncludes index.
588 _aDescription based on online resource; title from PDF title page (ebrary, viewed November 4, 2013).
590 _aElectronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
650 0 _aReinforcement learning.
650 0 _aMarkov processes.
650 0 _aGame theory.
655 4 _aElectronic books.
700 1 _aNowe, Ann.
700 1 _aVerbeeck, Katja.
776 0 8 _iPrint version:
_aVrancx, Peter.
_tDecentralised reinforcement learning in Markov games.
_dBrussel, Belgium : VUBPress, c2010
_hxii, 205 pages
_z9789054877158
797 2 _aProQuest (Firm)
856 4 0 _uhttps://ebookcentral.proquest.com/lib/bacm-ebooks/detail.action?docID=3115787
_zClick to View
999 _c173167
_d173167