We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
— Consider the task of searching a region for the presence or absence of a target using a team of multiple searchers. This paper formulates this search problem as a sequential pr...
This paper presents a hybrid approach to automatic parallelization of computer programs which combines static extraction of threads (tasks) with dynamic scheduling for parallel an...
Ronald Moore, Melanie Klang, Bernd Klauer, Klaus W...
A central problem in information retrieval is the automated classification of text documents. While many existing methods achieve good levels of performance, they generally require...
Partially Observable Markov Decision Processes have been studied widely as a model for decision making under uncertainty, and a number of methods have been developed to find the s...