Efficient exploration in complex coordination tasks has been considered a challenging problem in multi-agent reinforcement learning (MARL). It is significantly more difficult for those tasks with ...

Additionally, multi-component exercise had the most pronounced effects on executive function, visual memory, and verbal memory in patients with mild cognitive impairment (MCI). In conclusion, ...

Models in the cognitive sciences and AI are typically based on heuristic combinations of soft computing methods - including fuzzy approaches, neural networks and others. It is often difficult, if not ...

Variables in Kratos can have different types. This makes them difficult to be used in a vector and passed to a function. The main difficulty is that the standard vector cannot hold entities with ...

By adopting a novel loss function, associated with the relationship between different labels, and a self-adapted label assigning threshold, mlDEEPre can accurately and efficiently perform ...

In my recent publication on the H-function of two variables [4], the double integrals are evaluated by using the technique of known integrals. In the present study a very general type of double ...

Leo A. Aroian, The Probability Function of the Product of Two Normally Distributed Variables, The Annals of Mathematical Statistics, Vol. 18, No. 2 (Jun., 1947), pp. 265-271 ...