This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...
Sridhar Mahadevan, Sarah Osentoski, Jeffrey Johns,...
Abstract. We present the discrete beeping communication model, which assumes nodes have minimal knowledge about their environment and severely limited communication capabilities. S...
Many sensor network applications monitor continuous phenomena by sampling, and fit time-varying models that capture the phenomena's behaviors. We introduce Pulse, a framework...
Abstract. There exists ample literature on Petri nets and its potential in the modelling, analysis, synthesis and implementation of systems in the manufacturing applications domain...
Laura Recalde, Manuel Silva, Joaquin Ezpeleta, Enr...
Development of computerized embedded control systems is difficult because it brings together systems theory, electrical engineering and computer science. The engineering and analys...
Marcel Verhoef, Peter Visser, Jozef Hooman, Jan F....