Hierarchical reinforcement learning for self-driving decision-making without reliance on labelled driving data (Englisch)
Freier Zugriff
- Neue Suche nach: Duan, Jingliang
- Neue Suche nach: Eben Li, Shengbo
- Neue Suche nach: Guan, Yang
- Neue Suche nach: Sun, Qi
- Neue Suche nach: Cheng, Bo
- Neue Suche nach: Duan, Jingliang
- Neue Suche nach: Eben Li, Shengbo
- Neue Suche nach: Guan, Yang
- Neue Suche nach: Sun, Qi
- Neue Suche nach: Cheng, Bo
In:
IET Intelligent Transport Systems
;
14
, 5
;
297-305
;
2020
- Aufsatz (Zeitschrift) / Elektronische Ressource
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Titel:Hierarchical reinforcement learning for self-driving decision-making without reliance on labelled driving data
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Beteiligte:Duan, Jingliang ( Autor:in ) / Eben Li, Shengbo ( Autor:in ) / Guan, Yang ( Autor:in ) / Sun, Qi ( Autor:in ) / Cheng, Bo ( Autor:in )
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Erschienen in:IET Intelligent Transport Systems ; 14, 5 ; 297-305
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Verlag:
- Neue Suche nach: The Institution of Engineering and Technology
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Erscheinungsdatum:11.02.2020
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Format / Umfang:9 pages
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ISSN:
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DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:parallel processing , highway driving scenario , right lane change , asynchronous parallel reinforcement learners , driving decisions , learning (artificial intelligence) , driving in lane , decision-making , road traffic control , labelled driving data , low-level motion control , decision making , neural nets , self-driving cars , hierarchical reinforcement learning , motion control , left lane change , supervised learning , control engineering computing , driver information systems , high-level manoeuvre selection , fully-connected neural networks
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Datenquelle:
Metadata by IET is licensed under CC BY 3.0
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