Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
Electric Power Systems (EPS) become more and more critical for our society, since they provide vital services for the human activities. At the same time, obtaining dependable beha...
Francesco Romani, Silvano Chiaradonna, Felicita Di...
We describe a working implementation of leveled homomorphic encryption (without bootstrapping) that can evaluate the AES-128 circuit in three different ways. One variant takes und...
The paper presents the Multi Agent System (MAS) designed for the large scale parallel computations. The special kind of diffusionbased scheduling enables to decompose and allocate...
Maciej Smolka, Piotr Uhruski, Robert Schaefer, Mar...
Routers are expected to play an important role in the IPbased wireless data network. Although a substantial number of techniques have been proposed to improve wireless network per...
Petros Zerfos, Gary Zhong, Jerry Cheng, Haiyun Luo...