In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
Principal curves have been defined as "self consistent" smooth curves which pass through the "middle" of a d-dimensional probability distribution or data cloud...
— We describe here a mechanism for controlling angles of a human-like joint using length sensors in threedimensional (3D) space. This joint mechanism, which is called a loosely c...
3 We define four families of geometries with as point graph the graph — or its complement — of all elliptic 4 hyperplanes of a given parabolic quadric in any finite 6-dimensi...
We explore the problem of secret-key distribution in unidirectional channels, those in which a sender transmits information blindly to a receiver. We consider two approaches: (1) ...