The requirements on production systems and their planning and control systems are constantly growing. Systems have to be flexible and provide viable solutions at the same time. Di...
Mark Aufenanger, Wilhelm Dangelmaier, Christoph La...
Architectures are usually compared by running the same workload on each architecture and comparing performance. When a single compiled binary of a program is executed on many diff...
Erez Perelman, Jeremy Lau, Harish Patil, Aamer Jal...
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
The problem of automatically selecting simulation models for autonomous agents depending on their current intentions and beliefs is considered in this paper. The intended use of t...
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...