Abstract: This article proposes a data-driven model-free inverse Q-learning algorithm for continuous-time linear quadratic regulators (LQRs). Using an agent’s trajectories of states and optimal ...

Abstract: In this paper, a value iteration adaptive dynamic programming (ADP) algorithm is developed to solve infinite horizon undiscounted optimal control problems for discrete-time nonlinear systems ...

DAEJEON, South Korea (October 14, 2024) – Qunova Computing, a developer of quantum software applications designed to bring quantum computing to the chemical, pharmaceutical and industrial engineering ...

The earlier conference version of GH-ICP is called Iterative Global Similarity Point (IGSP). To highlight two key innovative points of the algorithm, we renamed IGSP as GH-ICP. #./script/run.sh ...

Picture a world where computing is not limited by the binary confines of zeros and ones, but instead, is free to explore the vast possibilities of continuous value data. Over the past three years a ...

Considering the strong non-linear time-varying behavior of dam deformation, a novel prediction model, called Levy flight-based grey wolf optimizer optimized support vector regression (LGWO-SVR), is ...

In recent years, due to the difficulty and inefficiency of experimental methods, numerous computational methods have been introduced for inferring the structure of Gene Regulatory Networks (GRNs). The ...

When will we finally learn we cannot predict people’s character from their appearance? Credit...Photo illustration by The New York Times; Archive.org (photo plate from “Identification anthropométrique ...

Tracking, or particle linking, consist in re-building the trajectories of one or several particles as they move along time. Their position is reported at each frame, but their identity is yet unknown: ...

One of the great challenges of unconfined seepage through a dam lies in the accurate determination of free surface that depends on the complexity of the seepage model, especially if the model is ...