LDR | | 01490nmm uu200373 4500 |
001 | | 000000333630 |
005 | | 20240805173411 |
008 | | 181129s2018 |||||||||||||||||c||eng d |
020 | |
▼a 9780438036093 |
035 | |
▼a (MiAaPQ)AAI10749752 |
035 | |
▼a (MiAaPQ)upenngdas:13135 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
082 | 0 |
▼a 004 |
100 | 1 |
▼a Drake, John. |
245 | 10 |
▼a Planning for Non-Player Characters by Learning From Demonstration. |
260 | |
▼a [S.l.] :
▼b University of Pennsylvania.,
▼c 2018 |
260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
300 | |
▼a 139 p. |
500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
500 | |
▼a Adviser: Maxim Likhachev. |
502 | 1 |
▼a Thesis (Ph.D.)--University of Pennsylvania, 2018. |
520 | |
▼a In video games, state of the art non-player character (NPC) behavior generation typically depends on hard-coding NPC actions. In many game situations however, it is hard to foresee how an NPC should behave to appear intelligent or to accommodate |
590 | |
▼a School code: 0175. |
650 | 4 |
▼a Computer science. |
690 | |
▼a 0984 |
710 | 20 |
▼a University of Pennsylvania.
▼b Computer and Information Science. |
773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0175 |
791 | |
▼a Ph.D. |
792 | |
▼a 2018 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997063
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자 |