Real world multiagent coordination problems are important issues for reinforcement learning techniques. In general, these problems are partially observable and this characteristic ...
Abstract. Digital signal processing and control (DSPC) tools allow application developers to assemble systems by connecting predefined components in signal–flow graphs and by h...
Previous systems have explored the challenges of designing an interface for automotive styling which combine the metaphor of 2D drawing using physical tape with the simultaneous c...
Tovi Grossman, Ravin Balakrishnan, Gordon Kurtenba...
In this paper, we propose a new architecture-level parameterized transient thermal behavioral modeling algorithm for emerging thermal related design and optimization problems for ...
Duo Li, Sheldon X.-D. Tan, Eduardo H. Pacheco, Mur...
Abstract— Approximation techniques for labelled Markov processes on continuous state spaces were developed by Desharnais, Gupta, Jagadeesan and Panangaden. However, it has not be...