e Abstraction Arie Gurfinkel1 , Ou Wei2 , and Marsha Chechik2 1 Software Engineering Institute, Carnegie Mellon University 2 Department of Computer Science, University of Toronto A...
Online interval selection is a problem in which intervals arrive one by one, sorted by their left endpoints. Each interval has a length and a non-negative weight associated with i...
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
Thomas J. Walsh, Sergiu Goschin, Michael L. Littma...
The research on real-time scheduling has mostly focused on the development of algorithms that allows to test whether the constraints imposed on the task execution (often expressed ...
Planning in partially observable environments remains a challenging problem, despite significant recent advances in offline approximation techniques. A few online methods have a...