Robustness and Adaptability of Reinforcement Learning-Based Cooperative Autonomous Driving in Mixed-Autonomy Traffic

Robustness and Adaptability of Reinforcement Learning-Based Cooperative Autonomous Driving in Mixed-Autonomy Traffic

Building autonomous vehicles (AVs) is a complex problem, but enabling them to operate in the real world where they will be surrounded by human-driven vehicles (HVs) is extremely challenging. Prior works have shown the possibilities of creating inter-agent cooperation between a group of AVs that foll...

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Bibliographic Details
Main Authors: Rodolfo Valiente, Behrad Toghi, Ramtin Pedarsani, Yaser P. Fallah
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Journal of Intelligent Transportation Systems
Subjects:
Behavior planning
cooperative driving
mixed-autonomy
reinforcement learning
robustness
Online Access:https://ieeexplore.ieee.org/document/9770186/

Internet

https://ieeexplore.ieee.org/document/9770186/

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