We analyze the use of built-in policies, or macro-actions, as a form of domain knowledge that can improve the speed and scaling of reinforcement learning algorithms. Such macro-actions are often used in robotics, and macro-operators are also well-known as an aid to state-space search in AI systems. The macro-actions we consider are closed-loop policies with termination conditions. The macro-act...

The most frequently used indicators for the productivity and impact of scientists are total number publication ($N_{pub}$), citations ($N_{cit}$) Hirsch (h) index. Since seminal paper Hirsch, in 2005, it is largely debated whether h index can be considered as an indicator independent $N_{pub}$ $N_{cit}$. Exploiting Paretian form distribution papers authored by a researcher, here we discuss scal...

The MSC macro package facilitates LaTEX users to easily include Message Sequence Charts in their texts. This article describes the motivation for developing the MSC macro package, the features of the MSC macro package, and the design of the MSC macro package.