In this paper we apply the recent notion of anytime universal intelligence tests to the evaluation of a popular reinforcement learning algorithm, Q-learning. We show that a general...
Under Legg’s and Hutter’s formal measure [1], performance in easy environments counts more toward an agent’s intelligence than does performance in difficult environments. An ...
The goal of our research is the development of algorithms for automatic estimation of a person's verbal intelligence based on the analysis of transcribed spoken utterances. I...
Kseniya Zablotskaya, Steffen Walter, Wolfgang Mink...
Combinations of evolutionary based approaches with local search have provided very good results for a variety of scheduling problems. This paper describes the development of such a...