The goal of deconvolution is to recover an image x from its convolution with a known blurring function. This is equivalent to inverting the linear system y = Hx. In this paper we ...
— Local linearizations are ubiquitous in the control of robotic systems. Analytical methods, if available, can be used to obtain the linearization, but in complex robotics system...
This paper addresses the issue of policy evaluation in Markov Decision Processes, using linear function approximation. It provides a unified view of algorithms such as TD(), LSTD()...
Library-based record and replay tools aim to reproduce an application's execution by recording the results of selected functions in a log and during replay returning the resu...
Zhenyu Guo, Xi Wang, Jian Tang, Xuezheng Liu, Zhil...
— As part of a program to find methods of reducing spatial interference in multi-robot systems, we propose the Interaction Grid (IG), a generalization of the Occupancy Grid that...