000 | 01746nam a2200445 i 4500 | ||
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001 | EBC3115787 | ||
003 | MiAaPQ | ||
005 | 20240121042558.0 | ||
006 | m o d | | ||
007 | cr cnu|||||||| | ||
008 | 131104s2010 be a o 001 0 eng d | ||
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 |
||
050 | 4 |
_aQ325.6 _b.V736 2010 |
|
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 |
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336 |
_atext _2rdacontent |
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337 |
_acomputer _2rdamedia |
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338 |
_aonline resource _2rdacarrier |
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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 |