There is no consensus on measuring distances between two different neural network architectures. Two folds of methods are used for that purpose: Structural and behavioral distance ...
Recently, we have introduced a novel approach to dynamic programming and reinforcement learning that is based on maintaining explicit representations of stationary distributions i...
Tao Wang, Daniel J. Lizotte, Michael H. Bowling, D...
— The agent paradigm has been the subject of much research during the last decade. Recently, security of multiagent systems has gained increased attention. In this paper we consi...
Abstract. Live role-playing (LRP) games stand as powerful metaphorical models for the various digital and ubiquitous forms of entertainment that gather under the term pervasive gam...
In this paper, we propose an adaptive self- stabilizing algorithm for producing a d-hop connected d-hop dominating set. In the algorithm, the set is cumulatively built with commun...