Researchers have defined a number of process modeling methods and have developed in-roads to process-centered environments that support process modeling and project control. Howev...
Stephanie White, Susan Fife Dorchak, John T. Keane...
Abstract. The paper introduces a reinforcement learning-based methodology for performance improvement of Intelligent Controllers. The translation interfaces of a 3-level Hierarchic...
Optimal performance in two-alternative, free response decision making tasks can be achieved by the drift-diffusion model of decision making - which can be implemented in a neural ...
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
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...