In this paper we propose a suite of techniques for planning with temporally extended preferences (TEPs). To this end, we propose a method for compiling TEP planning problems into ...
Jorge A. Baier, Fahiem Bacchus, Sheila A. McIlrait...
In this paper we investigate multi-task learning in the context of Gaussian Processes (GP). We propose a model that learns a shared covariance function on input-dependent features...
Edwin V. Bonilla, Kian Ming Chai, Christopher K. I...
This paper aims to show investigations made in knowledge e-marketplaces (Ke-markets). It gathers, reviews, structures, and compiles in a homogeneous presentation information of th...
In models of military operations it is important to include the Command and Control (C2) process in order to achieve a realistic simulation of a military force's behaviour an...
Dynamic program optimization allows programs to be generated that are highly tuned for a given environment and input data set. Optimization techniques can be applied and re-applie...