000 | 03001nam a22005175i 4500 | ||
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001 | 978-3-031-37345-9 | ||
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007 | cr nn 008mamaa | ||
008 | 230814s2023 sz | s |||| 0|eng d | ||
020 |
_a9783031373459 _9978-3-031-37345-9 |
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024 | 7 |
_a10.1007/978-3-031-37345-9 _2doi |
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050 | 4 | _aQ325.5-.7 | |
072 | 7 |
_aUYQM _2bicssc |
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_aMAT029000 _2bisacsh |
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082 | 0 | 4 |
_a006.31 _223 |
100 | 1 |
_aRis-Ala, Rafael. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aFundamentals of Reinforcement Learning _h[electronic resource] / _cby Rafael Ris-Ala. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2023. |
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300 |
_aXV, 88 p. 94 illus., 87 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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505 | 0 | _aChapter. 1. Introduction -- Chapter. 2. Concepts -- Chapter. 3. Q-Learning algorithm -- Chapter. 4. Development tools -- Chapter. 5. Practice with code -- Chapter. 6. Recent applications and future research -- Index. | |
520 | _aArtificial intelligence (AI) applications bring agility and modernity to our lives, and the reinforcement learning technique is at the forefront of this technology. It can outperform human competitors in strategy games, creative compositing, and autonomous movement. Moreover, it is just starting to transform our civilization. This book provides an introduction to AI, specifies machine learning techniques, and explores various aspects of reinforcement learning, approaching the latest concepts in a didactic and illustrated manner. It is aimed at students who want to be part of technological advances and professors engaged in the development of innovative applications, helping with academic and industrial challenges. Understanding the Fundamentals of Reinforcement Learning will allow you to: Understand essential AI concepts Gain professional experience Interpret sequential decision problems and solve them with reinforcement learning Learn how the Q-Learning algorithm works Practice with commented Python code Find advantageous directions. | ||
650 | 0 | _aMachine learning. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aSoftware engineering. | |
650 | 1 | 4 | _aMachine Learning. |
650 | 2 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aSoftware Engineering. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031373442 |
776 | 0 | 8 |
_iPrinted edition: _z9783031373466 |
776 | 0 | 8 |
_iPrinted edition: _z9783031373473 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-37345-9 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
_c179238 _d179238 |