We propose an online algorithm for planning under uncertainty in multi-agent settings modeled as DEC-POMDPs. The algorithm helps overcome the high computational complexity of solv...
: This paper evaluates the ability of a variety of commercial and non-commercial software products to detect serial run-time errors in C and C++ programs, to issue meaningful messa...
Glenn R. Luecke, James Coyle, Jim Hoekstra, Marina...
Abstract— In this paper we evaluate interactions among flowlevel performance metrics when integrating QoS and best effort flows in a wireless system using opportunistic schedul...
In standard online learning, the goal of the learner is to maintain an average loss that is "not too big" compared to the loss of the best-performing function in a fixed...
Abstract. When parallelizing loop nests for distributed memory parallel computers, we have to specify when the different computations are carried out (computation scheduling), wher...
Alain Darte, Claude G. Diderich, Marc Gengler, Fr&...