In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
Software energy estimation is a critical step in the design of energyefficient embedded systems. Instruction-level simulation techniques, despite several advances, remain too slo...
We introduce a novel algorithm for the design of fast slice-selective spatially-tailored magnetic resonance imaging (MRI) excitation pulses. This method, based on sparse approximat...
Adam C. Zelinski, Lawrence L. Wald, K. Setsompop, ...
Sublithographic Programmable Logic Arrays can be interconnected and restored using nanoscale wires. Building on a hybrid of bottom-up assembly techniques supported by conventional...
Abstract. The increasing adoption of MDD (Model Driven Development) techniques favored the use of large models of different types. It turns out that when the modeled system gets la...