Evaluating the Robustness of Deep Reinforcement Learning for Autonomous Policies in a Multi-agent Urban Driving Environment

Evaluating the Robustness of Deep Reinforcement Learning for Autonomous Policies in a Multi-agent Urban Driving Environment

Evaluating the Robustness of Deep Reinforcement Learning for Autonomous Policies in a Multi-agent Urban Driving Environment

Authors: A. Sharif
Status: Published
Publication type: Proceedings Refereed
Year of publication: 2022
Journal: 22nd IEEE International Conference on Software Quality, Reliability, and Security (QRS)
Publisher: IEEE
URL: https://ieeexplore.ieee.org/abstract/document/10062456
DOI: 10.1109/QRS57517.2022.00084
Citation key: 17147

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