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Majid Rostami-Shahrbabaki

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

1

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91

TOTAL CITATIONS

4

Scholarly Papers (1)

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1.

Multi-Task Lane-Free Driving Strategy for Connected and Automated Vehicles: A Multi-Agent Deep Reinforcement Learning Approach

Downloads 91 (736,406)
Citation 4

Multi-Task Lane-Free Driving Strategy for Connected and Automated Vehicles: A Multi-Agent Deep Reinforcement Learning Approach

Number of pages: 27 Posted: 17 Apr 2024
Mehran Berahman, Majid Rostami-Shahrbabaki and Klaus Bogenberger
Shiraz University, affiliation not provided to SSRN and Technische Universität München (TUM)
Downloads 63 (947,975)
Citation 4

Abstract:

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Multi-agent deep deterministic policy gradient, Reinforcement Learning, lane-free traffic, Connected and Automated Vehicles, traffic control

Multi-Task Lane-Free Driving Strategy for Connected and Automated Vehicles: A Multi-Agent Deep Reinforcement Learning Approach

Number of pages: 27 Posted: 01 Jul 2024
Mehran Berahman, Majid Rostami-Shahrbabaki and Klaus Bogenberger
Shiraz University, affiliation not provided to SSRN and Technische Universität München (TUM)
Downloads 28 (1,385,838)

Abstract:

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Multi-agent Deep Deterministic Policy Gradient, Reinforcement Learning, lane-free traffic, Connected and Automated Vehicles, Traffic control