37 citations · 58 across the 7 of their papers we have counts for
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cs.LG2018
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…
cs.LG2018
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…
cs.LG2018
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…