: The article is devoted to the development of knowledge-oriented models that are able to increase the efficiency and quality of main pipeline complex (MPC) dispatching control. Th...
Markov decision processes (MDPs) are widely used for modeling decision-making problems in robotics, automated control, and economics. Traditional MDPs assume that the decision mak...
Howard's policy iteration algorithm is one of the most widely used algorithms for finding optimal policies for controlling Markov Decision Processes (MDPs). When applied to we...
This paper1 provides a view of modeling the information dominance problem of military systems as representative of modeling other complex systems. The ideas are an extension of ea...
Open-ended spoken interactions are typically characterised by both structural complexity and high levels of uncertainty, making dialogue management in such settings a particularly...