We propose a multi-virtual-agent imitation learning approach to learn the dispatch policy of the microgrid energy system under different power supply interrupted periods. Multi-virtual agents are used ...

This is a python program developed for quality control of horizontal component ambient noise cross-correlation functions (CCFs) based on the Rayleigh wave phase-matching method. Regarding the Rayleigh ...

Gene expression programs that establish and maintain specific cellular states are orchestrated through a regulatory network composed of transcription factors, cofactors, and chromatin regulators.

Abstract: In industrial sectors, many optimization problems arise while controlling technological processes. It is often the optimization tasks to maximize profit and production or minimize costs, ...

Abstract: This paper presents the bias-policy iteration, a modified adaptive dynamic programming method, to achieve optimal control design of discrete-time nonlinear systems. Firstly, the formulation ...