Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
Alan P. Reynolds, David W. Corne, Michael J. Chant...
We present a novel technique for synthesising behaviour models that works for an expressive subset of liveness properties and conforms to the foundational requirements engineering...
Present application specific embedded systems tend to choose instruction set extensions (ISEs) based on limitations imposed by the available data bandwidth to custom functional un...
Panagiotis Athanasopoulos, Philip Brisk, Yusuf Leb...
The Simple API for Grid Applications (SAGA) can be used to develop a range of applications which are in turn composed of multiple sub-tasks. In particular SAGA is an effective tool...