We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...
This paper describes a novel approach to high-level agent programming based on a highly developed logical theory of action. The user provides a specification of the agents’ bas...
The realization of ubiquitous networks brings new challenges to application development. In this kind of network, services and, more specifically web services, have been used to p...
Luiz Olavo Bonino da Silva Santos, Marten van Sind...
This article introduces automatic speech recognition based on Electro-Magnetic Articulography (EMA). Movements of the tongue, lips, and jaw are tracked by an EMA device, which are...
The robust operation of many sensor network applications depends on deploying relays to ensure wireless coverage. Radio mapping aims to predict network coverage based on a small n...