This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
This paper describes a diagnosis technique for locating design errors in circuit implementations which do not match their functional specification. The method efficiently propagat...
Andreas Kuehlmann, David Ihsin Cheng, Arvind Srini...
Abstract. Large-scale distributed computing applications require concurrent programming models that support modular and compositional software development. The actor model supports...
Wei-Jen Wang, Carlos A. Varela, Fu-Hau Hsu, Cheng-...
Many man-made and natural structures consist of similar elements arranged in regular patterns. In this paper we present an unsupervised approach for discovering and reasoning on re...
The uncertainty may be divides it into two major groups, "objective uncertainty" and "subjective uncertainty". The objective uncertainty has already been exten...