We describe a framework that helps students learn from examples by generating example problem solutions whose level of detail is tailored to the students' domain knowledge. T...
This paper studies the problem of finding a minimum-length schedule of a power-controlled wireless network subject to traffic demands and SINR (signal-to-interferenceplus-noise rat...
Despite the recent advances in planning with MDPs, the problem of generating good policies is still hard. This paper describes a way to generate policies in MDPs by (1) determiniz...
We investigate the application of modern planning techniques to domains arising from problems in natural language generation (NLG). In particular, we consider two novel NLGinspire...
Manyreal-world planning problems require generating plans that maximizethe parallelism inherent in a problem. There are a numberof partial-order planners that generate such plans;...