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020 ▼a 9798534676723
035 ▼a (MiAaPQ)AAI28410176
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 004
1001 ▼a Kostrikov, Ilya.
24510 ▼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.
5021 ▼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
71020 ▼a New York University. ▼b Computer Science.
7730 ▼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
85640 ▼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