Towards End-to-End Chase in Urban Autonomous Driving Using Reinforcement Learning

Michał Kołomański; Mustafa Sakhai; Jakub Nowak; Maciej Wielgosz

doi:10.1007/978-3-031-16075-2_29

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Towards End-to-End Chase in Urban Autonomous Driving Using Reinforcement Learning

Michał Kołomański Mustafa Sakhai Jakub Nowak Maciej Wielgosz

Year: 2022 Lecture notes in networks and systems Pages: 408-426 Publisher: Springer International Publishing

DOI: 10.1007/978-3-031-16075-2_29

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Keywords:

Reinforcement learning Task (project management) Computer science End-to-end principle Artificial intelligence Protocol (science) Simulation Engineering

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3.24

FWCI (Field Weighted Citation Impact)

Refs

0.92

Citation Normalized Percentile

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Is in top 10%

Citation History

Topics

Autonomous Vehicle Technology and Safety

Physical Sciences → Engineering → Automotive Engineering

Traffic control and management

Physical Sciences → Engineering → Control and Systems Engineering

Transportation and Mobility Innovations

Physical Sciences → Engineering → Automotive Engineering

Towards End-to-End Chase in Urban Autonomous Driving Using Reinforcement Learning

Metrics

Citation History

Topics

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