37 citations · 113 across the 22 of their papers we have counts for
8 papers · 1 filter
TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform for Ethical Decision Making in Autonomous Vehicles
Vahid Behzadan, James Minton, Arslan Munir
This paper presents TrolleyMod v1.0, an open-source platform based on the CARLA simulator for the collection of ethical decision-making data for autonomous vehicles. This platform…
Emergence of Addictive Behaviors in Reinforcement Learning Agents
Vahid Behzadan, Roman V. Yampolskiy, Arslan Munir
This paper presents a novel approach to the technical analysis of wireheading in intelligent agents. Inspired by the natural analogues of wireheading and their prevalent manifestat…
The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning
Vahid Behzadan, Arslan Munir
Since the inception of Deep Reinforcement Learning (DRL) algorithms, there has been a growing interest in both research and industrial communities in the promising potentials of th…
Mitigation of Policy Manipulation Attacks on Deep Q-Networks with Parameter-Space Noise
Vahid Behzadan, Arslan Munir
Recent developments have established the vulnerability of deep reinforcement learning to policy manipulation attacks via intentionally perturbed inputs, known as adversarial exampl…
Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles
Vahid Behzadan, Arslan Munir
With the rapidly growing interest in autonomous navigation, the body of research on motion planning and collision avoidance techniques has enjoyed an accelerating rate of novel pro…
A Psychopathological Approach to Safety Engineering in AI and AGI
Vahid Behzadan, Arslan Munir, Roman V. Yampolskiy
The complexity of dynamics in AI techniques is already approaching that of complex adaptive systems, thus curtailing the feasibility of formal controllability and reachability anal…