31 citations · 38 across the 5 of their papers we have counts for
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cs.AI2021★ 1 cited
Evaluating the Robustness of Deep Reinforcement Learning for Autonomous Policies in a Multi-agent Urban Driving Environment
Aizaz Sharif, Dusica Marijan
Deep reinforcement learning is actively used for training autonomous car policies in a simulated driving environment. Due to the large availability of various reinforcement learnin…
cs.AI2021★ 31 cited
Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving Policies
Aizaz Sharif, Dusica Marijan
Autonomous cars are well known for being vulnerable to adversarial attacks that can compromise the safety of the car and pose danger to other road users. To effectively defend agai…
cs.SE2021
DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing
Aizaz Sharif, Dusica Marijan, Marius Liaaen
Continuous integration testing is an important step in the modern software engineering life cycle. Test prioritization is a method that can improve the efficiency of continuous int…