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Reinforcement Learning for Behavior Planning of Autonomous Vehicles in Urban Scenarios
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Reinforcement Learning for Behavior Planning of Autonomous Vehicles in Urban Scenarios. |
| 개인저자 | Qiao, Zhiqian. |
| 단체저자명 | Carnegie Mellon University. Electrical and Computer Engineering. |
| 발행사항 | [S.l.]: Carnegie Mellon University., 2021. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2021. |
| 형태사항 | 115 p. |
| 기본자료 저록 | Dissertations Abstracts International 83-03B. Dissertation Abstract International |
| ISBN | 9798538168347 |
| 학위논문주기 | Thesis (Ph.D.)--Carnegie Mellon University, 2021. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
Advisor: Dolan, John;Schneider, Jeff. |
| 이용제한사항 | This item must not be sold to any third party vendors. |
| 일반주제명 | Electrical engineering. Simulation. Datasets. Control algorithms. Teaching methods. Success. Experiments. Planning. Knowledge. Autonomous vehicles. Decision making. Data collection. Consciousness. Core curriculum. Heuristic. Skills. Computer science. Artificial intelligence. Automotive engineering. Robotics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
