3 citations · 5 across the 4 of their papers we have counts for
6 papers
An Adaptive Flow-Aware Packet Scheduling Algorithm for Multipath Tunnelling
Richard Sailer, Jörg Hähner
This paper proposes AFMT, a packet scheduling algorithm to achieve adaptive flow-aware multipath tunnelling. AFMT has two unique properties. Firstly, it implements robust adaptive…
An Architectural Design for Measurement Uncertainty Evaluation in Cyber-Physical Systems
Wenzel Pilar von Pilchau, Varun Gowtham, Maximilian Gruber +9
Several use cases from the areas of manufacturing and process industry, require highly accurate sensor data. As sensors always have some degree of uncertainty, methods are needed t…
SupRB: A Supervised Rule-based Learning System for Continuous Problems
Michael Heider, David Pätzel, Jörg Hähner
We propose the SupRB learning system, a new Pittsburgh-style learning classifier system (LCS) for supervised learning on multi-dimensional continuous decision problems. SupRB learn…
XCS Classifier System with Experience Replay
Anthony Stein, Roland Maier, Lukas Rosenbauer +1
XCS constitutes the most deeply investigated classifier system today. It bears strong potentials and comes with inherent capabilities for mastering a variety of different learning…
Bootstrapping a DQN Replay Memory with Synthetic Experiences
Wenzel Baron Pilar von Pilchau, Anthony Stein, Jörg Hähner
An important component of many Deep Reinforcement Learning algorithms is the Experience Replay which serves as a storage mechanism or memory of made experiences. These experiences…
On the Detection of Mutual Influences and Their Consideration in Reinforcement Learning Processes
Stefan Rudolph, Sven Tomforde, Jörg Hähner
Self-adaptation has been proposed as a mechanism to counter complexity in control problems of technical systems. A major driver behind self-adaptation is the idea to transfer tradi…