In recent models of decision-making, cognitive scientists have examined the relationship between option generation and successful performance. These models suggest that those who a...
Paul Ward, Joel Suss, David W. Eccles, A. Mark Wil...
In machine learning, decision trees are employed extensively in solving classification problems. In order to design a decision tree classifier two main phases are employed. The fi...
Jason R. Beck, Maria Garcia, Mingyu Zhong, Michael...
Typically agent evaluation is done through Monte Carlo estimation. However, stochastic agent decisions and stochastic outcomes can make this approach inefficient, requiring many s...
Michael H. Bowling, Michael Johanson, Neil Burch, ...
Robot autonomy is of high relevance for HRI, in particular for interactions of humans and robots in mixed human-robot teams. In this paper, we investigate empirically the extent t...
Abstract. In this paper we address the problem of prioritising feedback on the basis of multiple heterogeneous pieces of information in exploratory learning. The problem arises whe...