000 | 00978nam a2200205 4500 | ||
---|---|---|---|
008 | 220331b ||||| |||| 00| 0 eng d | ||
020 | _a9783642276446 (hb.) | ||
082 |
_a006.31 _bWIE |
||
100 |
_aWiering, Marco _9906 |
||
245 |
_aReinforcement learning : _bstate-of-the-art |
||
260 |
_aNew York _bSpringer _c2012 |
||
300 | _axxxiv, 638p., | ||
500 | _ahttps://link.springer.com/book/10.1007/978-3-642-27645-3#about | ||
520 | _aReinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the past decade | ||
650 |
_aReinforcement learning _9859 |
||
650 |
_aArtificial intelligence _9560 |
||
650 |
_aSoftware engineering _9907 |
||
700 |
_aOtterlo, Martijn van _9908 |
||
942 | _cBK | ||
999 |
_c7799 _d7799 |