LDR | | 01901nam u200589 4500 |
001 | | 000000467782 |
005 | | 20220223113003 |
008 | | 220131s2021 us ||||||||||||||c||eng d |
020 | |
▼a 9798534676723 |
035 | |
▼a (MiAaPQ)AAI28410176 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
082 | 0 |
▼a 004 |
100 | 1 |
▼a Kostrikov, Ilya. |
245 | 10 |
▼a Improving Sample Efficiency of Imitation and Reinforcement Learning. |
260 | |
▼a [S.l.]:
▼b New York University.,
▼c 2021. |
260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2021. |
300 | |
▼a 142 p. |
500 | |
▼a Source: Dissertations Abstracts International, Volume: 83-02, Section: B. |
500 | |
▼a Advisor: Fergus, Rob. |
502 | 1 |
▼a Thesis (Ph.D.)--New York University, 2021. |
506 | |
▼a This item must not be sold to any third party vendors. |
590 | |
▼a School code: 0146. |
650 | 4 |
▼a Computer science. |
650 | 4 |
▼a Artificial intelligence. |
650 | 4 |
▼a Behavior. |
650 | 4 |
▼a Deep learning. |
650 | 4 |
▼a Datasets. |
650 | 4 |
▼a Experiments. |
650 | 4 |
▼a Cloning. |
650 | 4 |
▼a School environment. |
650 | 4 |
▼a Optimization. |
650 | 4 |
▼a Neural networks. |
650 | 4 |
▼a Seeds. |
650 | 4 |
▼a Algorithms. |
650 | 4 |
▼a Efficiency. |
690 | |
▼a 0984 |
690 | |
▼a 0800 |
710 | 20 |
▼a New York University.
▼b Computer Science. |
773 | 0 |
▼t Dissertations Abstracts International
▼g 83-02B. |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0146 |
791 | |
▼a Ph.D. |
792 | |
▼a 2021 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T16051464
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
980 | |
▼a 202202
▼f 2022 |
990 | |
▼a ***1012033 |
991 | |
▼a E-BOOK |