| 000 | 01275nam a2200301 i 4500 | ||
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_c91974 _d91980 |
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| 003 | MY-KuUP | ||
| 005 | 20251125105515.0 | ||
| 006 | a||||fs|||| 000 0 | ||
| 007 | c| ||||||||||| | ||
| 008 | 200210s2018 my ||||fs|||| 000 0 eng d | ||
| 020 |
_a9781788834247 _qebook |
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| 040 |
_aworldCat _beng _cUMP _erda |
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| 090 | _aQ325 .B47 D44 2018 | ||
| 100 | 1 | 0 |
_aLapan, Maxim, _eauthor. |
| 245 | 1 | 0 |
_aDeep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo zero and more / _cMaxim Lapan |
| 264 |
_aBirmingham, UK : _bPackt Publishing _c2018 |
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| 300 | _a1 online resource | ||
| 336 |
_atext _2rdacontent |
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| 337 |
_acomputer _2rdamedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 650 | 0 | _aReinforcement learning | |
| 650 | 0 | _aMachine learning | |
| 650 | 0 | _aNatural language processing (Computer science) | |
| 650 | 0 | _aArtificial intelligence | |
| 856 | 4 | 0 |
_uhttp://portal.igpublish.com.libraryumpsa.idm.oclc.org/iglibrary/obj/PACKT0004626?dtbs=&searchid=1570505506936FMXXmIx7QxaVajiFL~_0B _zClik here to access |
| 856 | 4 | 0 |
_uhttp://portal.igpublish.com/iglibrary/obj/PACKT0004626?dtbs=&searchid=1570505506936FMXXmIx7QxaVajiFL~_0B _zClik here to access (Direct Link) |
| 942 |
_2lcc _cEBOOK |
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