Matches in SemOpenAlex for { <https://semopenalex.org/work/W3100366369> ?p ?o ?g. }
- W3100366369 endingPage "354" @default.
- W3100366369 startingPage "219" @default.
- W3100366369 abstract "Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine. Thus, deep RL opens up many new applications in domains such as healthcare, robotics, smart grids, finance, and many more. This manuscript provides an introduction to deep reinforcement learning models, algorithms and techniques. Particular focus is on the aspects related to generalization and how deep RL can be used for practical applications. We assume the reader is familiar with basic machine learning concepts." @default.
- W3100366369 created "2020-11-23" @default.
- W3100366369 creator A5001087292 @default.
- W3100366369 creator A5015166903 @default.
- W3100366369 creator A5027489992 @default.
- W3100366369 creator A5079926596 @default.
- W3100366369 creator A5080591144 @default.
- W3100366369 date "2018-01-01" @default.
- W3100366369 modified "2023-10-16" @default.
- W3100366369 title "An Introduction to Deep Reinforcement Learning" @default.
- W3100366369 cites W1480527676 @default.
- W3100366369 cites W1520121841 @default.
- W3100366369 cites W1564393562 @default.
- W3100366369 cites W1569296262 @default.
- W3100366369 cites W1608401492 @default.
- W3100366369 cites W1631187438 @default.
- W3100366369 cites W1663973292 @default.
- W3100366369 cites W1957496711 @default.
- W3100366369 cites W2076337359 @default.
- W3100366369 cites W2081030963 @default.
- W3100366369 cites W2098432798 @default.
- W3100366369 cites W2101234009 @default.
- W3100366369 cites W2117423905 @default.
- W3100366369 cites W2145339207 @default.
- W3100366369 cites W2173564293 @default.
- W3100366369 cites W2174786457 @default.
- W3100366369 cites W2176263492 @default.
- W3100366369 cites W2202514763 @default.
- W3100366369 cites W2214429195 @default.
- W3100366369 cites W2335959470 @default.
- W3100366369 cites W2342840547 @default.
- W3100366369 cites W2462906003 @default.
- W3100366369 cites W2472053385 @default.
- W3100366369 cites W2521274174 @default.
- W3100366369 cites W2522340145 @default.
- W3100366369 cites W2547416798 @default.
- W3100366369 cites W2554120691 @default.
- W3100366369 cites W2567374473 @default.
- W3100366369 cites W2579923771 @default.
- W3100366369 cites W2596367596 @default.
- W3100366369 cites W2596982695 @default.
- W3100366369 cites W2604763608 @default.
- W3100366369 cites W2606433045 @default.
- W3100366369 cites W2606508169 @default.
- W3100366369 cites W2609374097 @default.
- W3100366369 cites W2609650878 @default.
- W3100366369 cites W2617317556 @default.
- W3100366369 cites W2617547828 @default.
- W3100366369 cites W2626778328 @default.
- W3100366369 cites W2626804490 @default.
- W3100366369 cites W2735347808 @default.
- W3100366369 cites W2736601468 @default.
- W3100366369 cites W2738675347 @default.
- W3100366369 cites W2739083961 @default.
- W3100366369 cites W2739473244 @default.
- W3100366369 cites W2754517384 @default.
- W3100366369 cites W2759710969 @default.
- W3100366369 cites W2761873684 @default.
- W3100366369 cites W2788781499 @default.
- W3100366369 cites W2797527950 @default.
- W3100366369 cites W2799164650 @default.
- W3100366369 cites W2809668646 @default.
- W3100366369 cites W2897345632 @default.
- W3100366369 cites W2949117887 @default.
- W3100366369 cites W2949264490 @default.
- W3100366369 cites W2949561945 @default.
- W3100366369 cites W2949980113 @default.
- W3100366369 cites W2950471160 @default.
- W3100366369 cites W2950989964 @default.
- W3100366369 cites W2952332632 @default.
- W3100366369 cites W2952606116 @default.
- W3100366369 cites W2952791429 @default.
- W3100366369 cites W2963125871 @default.
- W3100366369 cites W3123298421 @default.
- W3100366369 cites W3150570724 @default.
- W3100366369 cites W779494576 @default.
- W3100366369 cites W87596044 @default.
- W3100366369 cites W3089091950 @default.
- W3100366369 doi "https://doi.org/10.1561/2200000071" @default.
- W3100366369 hasPublicationYear "2018" @default.
- W3100366369 type Work @default.
- W3100366369 sameAs 3100366369 @default.
- W3100366369 citedByCount "443" @default.
- W3100366369 countsByYear W31003663692018 @default.
- W3100366369 countsByYear W31003663692019 @default.
- W3100366369 countsByYear W31003663692020 @default.
- W3100366369 countsByYear W31003663692021 @default.
- W3100366369 countsByYear W31003663692022 @default.
- W3100366369 countsByYear W31003663692023 @default.
- W3100366369 crossrefType "journal-article" @default.
- W3100366369 hasAuthorship W3100366369A5001087292 @default.
- W3100366369 hasAuthorship W3100366369A5015166903 @default.
- W3100366369 hasAuthorship W3100366369A5027489992 @default.
- W3100366369 hasAuthorship W3100366369A5079926596 @default.
- W3100366369 hasAuthorship W3100366369A5080591144 @default.
- W3100366369 hasBestOaLocation W31003663692 @default.
- W3100366369 hasConcept C108583219 @default.
- W3100366369 hasConcept C119857082 @default.