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Applied Artificial Intelligence (AAI)

It searches for the most beautiful snapshots from our image masses, takes over the evaluation of complex sensor data in vehicles, enables ever better forecasts for the feed-in from renewable…

Applied Artificial Intelligence (AAI) - Adversarial Resilience Learning

Adversarial Resilience Learning Critical infrastructures that support our civilization are becoming increasingly complex. They span domains that were never thought of before and face new threats:…

Adversarial Resilience Learning (E)

Critical infrastructures that underpin our civilization are becoming increasingly complex. They span domains that were never thought to be integrated in the past and face new threats, from volatile…

Adversarial Resilience Learning (E) - Adversarial Reinforcement Learning

Adversarial Reinforcement Learning Modern approaches in reinforcement learning have shown that self-play - the play of different instances of an agent against each other - can be effectively used to…

Adversarial Resilience Learning (E) - Evolutionary Optimization

Evolutionary Optimization Evolutionary algorithms are becoming a serious alternative to classical gradient descent methods and show strengths especially in the area of reinforcement learning. In…

Adversarial Resilience Learning (E) - Neuroevolution

Neuroevolution Usually, in Deep Learning applications—and Deep Reinforcement Learning is one of them—, the shape of the artificial neural network is predetermined by the developer. But the concept…

Adversarial Resilience Learning (E) - Neural Turing Machinery & Algorithm Approximation

Neural Turing Machinery & Algorithm Approximation The goal of the ARL methodology is to enable agents to be capable of meaningful actions beyond concrete models. This is not intended to involve new…

Adversarial Resilience Learning (E) - Explainable Reinforcement Learning

Explainable Reinforcement Learning Any application of artificial intelligence, provided it is used in critical infrastructures and CPS on whose well-being human lives depend, must meet high…

Adversarial Resilience Learning (E) - State Space Sampling

State Space Sampling Surrogate models are used when the use of true simulation models is time or otherwise resource intensive. They represent approximations of the original model that are…