In this paper, we study phase transition behavior emerging from the interactions among multiple agents in the presence of noise. We propose a simple discrete-time model in which a...
We consider the task of reinforcement learning in an environment in which rare significant events occur independently of the actions selected by the controlling agent. If these ev...
Audio-visual emotion expression by synthetic agents is widely employed in research, industrial, and commercial applications. However, the mechanism through which people judge the ...
Emily Mower, Sungbok Lee, Maja J. Mataric, Shrikan...
—In battery-constrained large-scale sensor networks, nodes are prone to random failures due to various reasons, such as energy depletion and hostile environment. Random failures ...
—Multiple input multiple output (MIMO) system has been recognized as a promising candidate for future wireless communication. The adaptive modulation which adjusts the transmitte...
Feng Jiang, Ying Wang, Xi Fang, Kai Sun, Guona Hu,...