MARC보기
LDR02187nam u200673 4500
001000000470714
00520220223115546
008220131s2021 us ||||||||||||||c||eng d
020 ▼a 9798538168347
035 ▼a (MiAaPQ)AAI28650131
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 621.3
1001 ▼a Qiao, Zhiqian. ▼0 (orcid)0000-0001-5816-1294.
24510 ▼a Reinforcement Learning for Behavior Planning of Autonomous Vehicles in Urban Scenarios.
260 ▼a [S.l.]: ▼b Carnegie Mellon University., ▼c 2021.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2021.
300 ▼a 115 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
500 ▼a Advisor: Dolan, John;Schneider, Jeff.
5021 ▼a Thesis (Ph.D.)--Carnegie Mellon University, 2021.
506 ▼a This item must not be sold to any third party vendors.
590 ▼a School code: 0041.
650 4 ▼a Electrical engineering.
650 4 ▼a Simulation.
650 4 ▼a Datasets.
650 4 ▼a Control algorithms.
650 4 ▼a Teaching methods.
650 4 ▼a Success.
650 4 ▼a Experiments.
650 4 ▼a Planning.
650 4 ▼a Knowledge.
650 4 ▼a Autonomous vehicles.
650 4 ▼a Decision making.
650 4 ▼a Data collection.
650 4 ▼a Consciousness.
650 4 ▼a Core curriculum.
650 4 ▼a Heuristic.
650 4 ▼a Skills.
650 4 ▼a Computer science.
650 4 ▼a Artificial intelligence.
650 4 ▼a Automotive engineering.
650 4 ▼a Robotics.
690 ▼a 0544
690 ▼a 0771
690 ▼a 0540
690 ▼a 0984
690 ▼a 0800
71020 ▼a Carnegie Mellon University. ▼b Electrical and Computer Engineering.
7730 ▼t Dissertations Abstracts International ▼g 83-03B.
773 ▼t Dissertation Abstract International
790 ▼a 0041
791 ▼a Ph.D.
792 ▼a 2021
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T16053541 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202202 ▼f 2022
990 ▼a ***1012033
991 ▼a E-BOOK