Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Traditional architecture design approaches hide hardware uncertainties from the software stack through overdesign, which is often expensive in terms of power consumption. The recen...
Wireless sensor networks (WSNs) are hard to program due to unconventional programming models used to satisfy stringent resource constraints. The common event-driven concurrent pro...
Vinaitheerthan Sundaram, Patrick Th. Eugster, Xian...
Most software tools and environments help developers analyze the present and past development states of their software systems. Few approaches have investigated the potential cons...
Yuriy Brun, Reid Holmes, Michael D. Ernst, David N...
This paper presents an instance based approach to diagnosing failures in computing systems. Owing to the fact that a large portion of occurred failures are repeated ones, our meth...