Self-organizing models develop realistic cortical structures when given approximations of the visual environment as input, and are an effective way to model the development of fac...
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
d Abstract) Thibault Kruse, Alexandra Kirsch, E. Akin Sisbot, Rachid Alami A robot moving in the presence of humans is highly constrained by the dynamic environment and the need t...
Thibault Kruse, Alexandra Kirsch, Emrah Akin Sisbo...
Modularity and symmetry are two properties observed in almost every engineering and biological structure. The origin of these properties in nature is still unknown. Yet, as engine...
This paper investigates cooperative search strategies for agents engaged in costly search in a complex environment. Searching cooperatively, several search goals can be satisfied w...