000 | a | ||
---|---|---|---|
999 |
_c32386 _d32386 |
||
008 | 230831b xxu||||| |||| 00| 0 eng d | ||
020 | _a9783031791666 | ||
082 |
_a005.133 _bOSB |
||
100 | _aOsborne, Philip | ||
245 | _aApplying reinforcement learning on real-world data with practical examples in Python | ||
260 |
_bSpringer, _c2022 _aCham : |
||
300 |
_axvii, 92 p. ; _bill., (some color), _c24 cm |
||
365 |
_b49.99 _cEUR _d94.90 |
||
490 |
_aSynthesis Lectures on Artificial Intelligence and Machine Learning, _v#52 |
||
504 | _aIncludes bibliographical references. | ||
520 | _aReinforcement learning is a powerful tool in artificial intelligence in which virtual or physical agents learn to optimize their decision making to achieve long-term goals. | ||
650 | _aPython | ||
650 | _aComputer program language | ||
700 | _aSingh, Kajal | ||
700 | _aTaylor, Matthew E. | ||
942 |
_2ddc _cBK |