Several different controller representations are compared on a non-trivial problem in simulated car racing, with respect to learning speed and final fitness. The controller rep...
Alexandros Agapitos, Julian Togelius, Simon M. Luc...
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
— We present a semi-parametric control policy representation and use it to solve a series of nonholonomic control problems with input state spaces of up to 7 dimensions. A neares...
We propose a new representation to describe mobile agents computations, where the underlying control structures are diffusing computations. Usually, distributed coms are abstracte...
We define an operational semantics for the Signal language and design an analysis which allows to verify properties pertaining to the relation between values of the numeric and bo...