| LDR | | 02118nam u200661 4500 |
| 001 | | 000000469130 |
| 005 | | 20220223114228 |
| 008 | | 220131s2021 us ||||||||||||||c||eng d |
| 020 | |
▼a 9798535508184 |
| 035 | |
▼a (MiAaPQ)AAI28643322 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 004 |
| 100 | 1 |
▼a Rajeswaran, Aravind. |
| 245 | 10 |
▼a Broad Generalization Through Domain Transfer: Abstractions and Algorithms. |
| 260 | |
▼a [S.l.]:
▼b University of Washington.,
▼c 2021. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2021. |
| 300 | |
▼a 161 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 83-02, Section: B. |
| 500 | |
▼a Advisor: Kakade, Sham;Todorov, Emanuel. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of Washington, 2021. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 590 | |
▼a School code: 0250. |
| 650 | 4 |
▼a Computer science. |
| 650 | 4 |
▼a Artificial intelligence. |
| 650 | 4 |
▼a Robotics. |
| 650 | 4 |
▼a Computer engineering. |
| 650 | 4 |
▼a International conferences. |
| 650 | 4 |
▼a Research. |
| 650 | 4 |
▼a Simulation. |
| 650 | 4 |
▼a Deep learning. |
| 650 | 4 |
▼a Random variables. |
| 650 | 4 |
▼a Success. |
| 650 | 4 |
▼a Experiments. |
| 650 | 4 |
▼a Optimization. |
| 650 | 4 |
▼a Approximation. |
| 650 | 4 |
▼a Data collection. |
| 650 | 4 |
▼a Information processing. |
| 650 | 4 |
▼a Algorithms. |
| 650 | 4 |
▼a Feedback. |
| 650 | 4 |
▼a Distance learning. |
| 650 | 4 |
▼a Games. |
| 690 | |
▼a 0984 |
| 690 | |
▼a 0800 |
| 690 | |
▼a 0771 |
| 690 | |
▼a 0464 |
| 710 | 20 |
▼a University of Washington.
▼b Computer Science and Engineering. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 83-02B. |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0250 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2021 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T16053113
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202202
▼f 2022 |
| 990 | |
▼a ***1012033 |
| 991 | |
▼a E-BOOK |