2 papers
eess.SP2020
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…
cs.LG2020
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…