Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Determining the provenance of data, i.e. the process that led to that data, is vital in many disciplines. For example, in science, the process that produced a given result must be...
Simon Miles, Steve Munroe, Michael Luck, Luc Morea...
Monitoring of software’s execution is crucial in numerous software development tasks. Current monitoring efforts generally require extensive instrumentation of the software or d...
: In this paper, we present the experience gained with the participation in a case study in which a novel high-level design language (UML4SOA) was used to produce a service-oriente...
Program instrumentation, inserted either before or during execution, is rapidly becoming a necessary component of many systems. Instrumentation is commonly used to collect informa...