Abstract. We consider batch reinforcement learning problems in continuous space, expected total discounted-reward Markovian Decision Problems. As opposed to previous theoretical wo...
Abstract--This paper presents a full state feedback adaptive dynamic inversion method for uncertain systems that depend nonlinearly upon the control input. Using a specialized set ...
We study a variant of classical scheduling, which is called scheduling with “end of sequence” information. It is known in advance that the last job has the longest processing ...
This paper addresses the following relay sensor placement problem: given the set of duty sensors in the plane and the upper bound of the transmission range, compute the minimum nu...
Xiuzhen Cheng, Ding-Zhu Du, Lusheng Wang, Baogang ...
A common approach to parallelizing simulated annealing to generate several perturbations to the current solution simultaneously, requiring synchronization to guarantee correct eva...