Markov Decision Processes (MDPs), currently a popular method for modeling and solving decision theoretic planning problems, are limited by the Markovian assumption: rewards and dy...
In this survey paper we describethe combination of: discretized integral formulations, sparsication techniques, and krylov-subspace based model-order reduction that has led to rob...
Eastern and Western cultures differ quite systematically in how they group objects, functions and concepts into categories [1,2,3]. This has implications for how navigation feature...
Within the parallel genetic algorithm framework, there currently exists a growing dichotomy between coarse-pain and fine-grain parallel architectures. This paper attempts to chara...
Variants of the decentralized MDP model focus on problems exhibiting some special structure that makes them easier to solve in practice. Our work is concerned with two main issues...