12 citations · 28 across the 12 of their papers we have counts for
3 papers · 1 filter
Imitation Game: A Model-based and Imitation Learning Deep Reinforcement Learning Hybrid
Eric MSP Veith, Torben Logemann, Aleksandr Berezin +2
Autonomous and learning systems based on Deep Reinforcement Learning have firmly established themselves as a foundation for approaches to creating resilient and efficient Cyber-Phy…
The Adversarial Resilience Learning Architecture for AI-based Modelling, Exploration, and Operation of Complex Cyber-Physical Systems
Eric MSP Veith, Nils Wenninghoff, Emilie Frost
Modern algorithms in the domain of Deep Reinforcement Learning (DRL) demonstrated remarkable successes; most widely known are those in game-based scenarios, from ATARI video games…
Adversarial Resilience Learning - Towards Systemic Vulnerability Analysis for Large and Complex Systems
Lars Fischer, Jan-Menno Memmen, Eric MSP Veith +1
This paper introduces Adversarial Resilience Learning (ARL), a concept to model, train, and analyze artificial neural networks as representations of competitive agents in highly co…